3d Printing Jobs in UAE

Senior Data Engineer12 month extendable contract Abu Dhabi | Office Based I am seeking an experienced Senior Data Engineer to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives. This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.<br>Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets. Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. Design and support real-time and batch data processing solutions using streaming technologies and distributed systems. Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data. Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services. Manage and enhance distributed data platforms to ensure scalability, availability, and performance. Contribute to data governance, master data management, metadata management, and data catalog initiatives. Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.<br>Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines. Strong proficiency in SQL and Python. Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka. Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies. Experience working with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of data governance, data quality, security, and privacy best practices. Strong analytical, problem-solving, and communication skills. Senior Data Engineer in Abu Dhabi, United Arab Emirates

Role: Statistics Expert (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Statistician (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Statistician (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Company Description Integrated Transport Center Abu Dhabi is a public sector organization based in Abu Dhabi, United Arab Emirates, focused on planning and managing transport services and infrastructure in the emirate. The center supports the development of efficient, safe, and sustainable mobility solutions for residents and visitors. It collaborates with government entities and private partners to improve public transport, traffic management, and logistics. Team members contribute to data-driven decision-making that shapes the future of transportation in Abu Dhabi.<br>Role Description The Data Scientist will work on-site in Abu Dhabi in a full-time capacity, using data-driven methods to support transport planning, operations, and policy. Day-to-day responsibilities include collecting and cleaning transport-related data, performing statistical and analytical modeling, and developing predictive and optimization models to improve traffic flow, public transport services, and resource allocation. The role involves creating dashboards and visualizations for stakeholders, preparing clear reports, and presenting findings to technical and non-technical audiences. The Data Scientist will collaborate with cross-functional teams, contribute to the design of data pipelines and analytical tools, and support continuous improvement of transport strategies using advanced analytics and machine learning.<br>Qualifications<br> Strong foundation in Data Science and Statistics, with the ability to design experiments, build models, and interpret results. Proficiency in Data Analytics and Data Analysis to extract insights, identify trends, and support evidence-based decision-making. Experience in Data Visualization to create clear, compelling dashboards and reports for varied stakeholders. Hands-on experience with programming languages such as Python or R, and common data science libraries and tools. Familiarity with databases, SQL, and data processing frameworks; experience with big data platforms is an advantage. Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Strong problem-solving skills, attention to detail, and ability to work collaboratively in diverse, cross-functional teams. Experience in transport, urban planning, or public sector analytics is beneficial; knowledge of machine learning methods is a plus.

Company Description Med Tour Easy is a healthcare technology organization focused on improving access to medical services and information through digital platforms. The company works with healthcare providers and patients to simplify complex medical processes and enhance decision-making. Med Tour Easy emphasizes the use of data, technology, and user-centric design to deliver reliable and convenient healthcare solutions. As a growing company, it offers opportunities for emerging professionals to gain hands-on experience in data-driven environments and contribute to meaningful healthcare initiatives.<br>Program Description The Data Analytics Traineeship is a remote program designed for individuals seeking practical experience in data-driven decision-making within the healthcare technology domain. Day-to-day responsibilities include collecting, cleaning, and organizing data from various internal and external sources; performing basic data analysis to identify trends, patterns, and key insights; and supporting data modeling activities under the guidance of senior team members. The trainee will assist in preparing reports, dashboards, and visualizations to communicate findings clearly to stakeholders, and help maintain data documentation and standards. The role also involves collaborating with cross-functional teams, learning best practices in data management, and continuously developing analytical and technical skills throughout the traineeship.<br>Qualifications Ability to apply Data Analytics and Data Analysis techniques to real-world business and healthcare problems. Strong Analytical Skills for interpreting datasets, identifying trends, and drawing logical conclusions. Foundational experience or coursework in Data Management, including data cleaning, organizing, and validation. Basic understanding of Data Modeling concepts and willingness to learn and support model development. Familiarity with spreadsheets and analytical tools (e.g., Excel, SQL, Python, or R) is highly beneficial. Strong attention to detail, problem-solving mindset, and ability to work independently in a remote setting. Effective written and verbal communication skills to present data findings clearly to non-technical audiences. Currently pursuing or recently completed a degree or certification in Data Science, Statistics, Computer Science, Engineering, or a related field.

Company Description Med Tour Easy is a healthcare technology organization focused on improving access to medical services and information through digital platforms. The company works with healthcare providers and patients to simplify complex medical processes and enhance decision-making. Med Tour Easy emphasizes the use of data, technology, and user-centric design to deliver reliable and convenient healthcare solutions. As a growing company, it offers opportunities for emerging professionals to gain hands-on experience in data-driven environments and contribute to meaningful healthcare initiatives.<br>Program Description The Data Analytics Traineeship is a remote program designed for individuals seeking practical experience in data-driven decision-making within the healthcare technology domain. Day-to-day responsibilities include collecting, cleaning, and organizing data from various internal and external sources; performing basic data analysis to identify trends, patterns, and key insights; and supporting data modeling activities under the guidance of senior team members. The trainee will assist in preparing reports, dashboards, and visualizations to communicate findings clearly to stakeholders, and help maintain data documentation and standards. The role also involves collaborating with cross-functional teams, learning best practices in data management, and continuously developing analytical and technical skills throughout the traineeship.<br>Qualifications Ability to apply Data Analytics and Data Analysis techniques to real-world business and healthcare problems. Strong Analytical Skills for interpreting datasets, identifying trends, and drawing logical conclusions. Foundational experience or coursework in Data Management, including data cleaning, organizing, and validation. Basic understanding of Data Modeling concepts and willingness to learn and support model development. Familiarity with spreadsheets and analytical tools (e.g., Excel, SQL, Python, or R) is highly beneficial. Strong attention to detail, problem-solving mindset, and ability to work independently in a remote setting. Effective written and verbal communication skills to present data findings clearly to non-technical audiences. Currently pursuing or recently completed a degree or certification in Data Science, Statistics, Computer Science, Engineering, or a related field.

Company Description Med Tour Easy is a healthcare technology organization focused on improving access to medical services and information through digital platforms. The company works with healthcare providers and patients to simplify complex medical processes and enhance decision-making. Med Tour Easy emphasizes the use of data, technology, and user-centric design to deliver reliable and convenient healthcare solutions. As a growing company, it offers opportunities for emerging professionals to gain hands-on experience in data-driven environments and contribute to meaningful healthcare initiatives.<br>Role Description The Data Analytics Traineeship is a remote program designed for individuals seeking practical experience in data-driven decision-making within the healthcare technology domain. Day-to-day responsibilities include collecting, cleaning, and organizing data from various internal and external sources; performing basic data analysis to identify trends, patterns, and key insights; and supporting data modeling activities under the guidance of senior team members. The trainee will assist in preparing reports, dashboards, and visualizations to communicate findings clearly to stakeholders, and help maintain data documentation and standards. The role also involves collaborating with cross-functional teams, learning best practices in data management, and continuously developing analytical and technical skills throughout the traineeship.<br>Qualifications Ability to apply Data Analytics and Data Analysis techniques to real-world business and healthcare problems. Strong Analytical Skills for interpreting datasets, identifying trends, and drawing logical conclusions. Foundational experience or coursework in Data Management, including data cleaning, organizing, and validation. Basic understanding of Data Modeling concepts and willingness to learn and support model development. Familiarity with spreadsheets and analytical tools (e.g., Excel, SQL, Python, or R) is highly beneficial. Strong attention to detail, problem-solving mindset, and ability to work independently in a remote setting. Effective written and verbal communication skills to present data findings clearly to non-technical audiences. Currently pursuing or recently completed a degree or certification in Data Science, Statistics, Computer Science, Engineering, or a related field.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>About Avery Dennison</strong></p><br><p>Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at www.averydennison.com.</p><br><p><strong>Avery Dennison is an equal opportunity employer.</strong><br> Please let us know if we can support you with reasonable accommodations&nbsp;throughout the application process by contacting our team via&nbsp;<span>[email&nbsp;protected]</span>.&nbsp;</p><br><br>Job Description<br><p>Key Responsibilities</p><br><ul><li><p>Develop and execute end to end category strategies for raw materials, indirect services, and subcontractors. Move beyond 'three quotes' to analyze Total Cost of Ownership and long-term value.</p><br></li><li><p>Identify inefficiencies in current workflows. Design and implement leaner, faster P2P cycle to drive organizational agility.</p><br></li><li><p>Build and maintain dynamic dashboards using advanced Google Sheets (Power Query/Pivot) or Power BI. Pioneer the use of Generative AI for market intelligence, contract analysis, and automated reporting.</p><br></li><li><p>Manage the entire procurement lifecycle with minimal hand holding. Take full accountability for results, from initial stakeholder requirements to final vendor performance.</p><br></li><li><p>Navigate the volatile UAE market, managing supplier rate-change requests and global logistics disruptions to protect Contribution Margins (CM) and ensure plant continuity.</p><br></li><li><p>Act as a trusted advisor to Finance, Operations, and Senior Leadership. Communicate complex procurement data as clear, actionable business insights.</p><br></li><li><p>Oversee contracts, critical spare parts sourcing, and outsourced processing to ensure zero business disruption.</p><br></li><li><p>Collaborating with Engineering and Operations to perform "Function vs. Cost" analysis on high-spend items.</p><br></li><li><p>Implementing "Should-Cost" modeling to challenge supplier pricing during complex negotiations.</p><br></li></ul><br>Qualifications<br><ul><li><p>Experience: 5+ years in Procurement, with at least 3 years in a Senior or Strategic capacity (UAE market experience is mandatory).</p><br></li><li><p>Technical Mastery: Expert-level Excel skills (Power Query, Power Pivot, Data Modeling). Deep familiarity with ERP systems.</p><br></li><li><p>Digital Mindset: Strong interest or experience in AI transformation, predictive analytics, and process automation.</p><br></li><li><p>Education: Bachelor’s degree in Supply Chain, Business, or Engineering. Professional certification (CIPS Level 4/5 or CPSM) is highly preferred.</p><br></li><li><p>Soft Skills: High emotional intelligence, exceptional negotiation skills, and the ability to influence C-suite stakeholders.</p><br></li><li><p>Mindset: Someone who creates systems rather than just following existing manuals.</p><br></li></ul><br>Additional Information<br><p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.</p><br><br><br> </div>

We’re Hiring – Landscape BIM Modeler | Dubai <br><br>Are you an experienced Landscape BIM Modeler ready to take your career to the next level in Dubai? ️<br><br>GYRFALCON DESIGN &amp; ENGINEERING SERVICES L.L.C. is looking for talented professionals to join our growing team.<br><br> Position: Landscape BIM Modeler<br> Location: Dubai, UAE <br> Experience: 3+ Years<br>⚡ Joining: Immediate Joiner<br><br> Key Requirements<br><br>✅ 3+ years of relevant Landscape BIM experience<br>✅ Proficiency in Revit<br>✅ Experience in Landscape BIM Modeling &amp; Documentation<br>✅ Knowledge of BIM standards and coordination<br>✅ Ability to work effectively within project deadlines<br><br> Send Your CV: hr@gyrfalconeng.com<br> Website: www.gyrfalconeng.com<br><br> Build your future with Gyrfalcon in Dubai!<br>️ Great People | Great Projects | A Stronger Tomorrow<br><br>#Hiring #LandscapeBIMModeler #BIMModeler #LandscapeArchitecture #BIMJobs #DubaiJobs #UAEJobs #Dubai #UAE #Revit #LandscapeBIM #BIM #BIMCareers #AEC #ConstructionJobs #EngineeringJobs #ImmediateJoiner #CareerOpportunity #Gyrfalcon #LandscapeDesign

<p><strong>China State Construction Middle East (CSCEC ME) is recruiting BIM Modelers (Architect) to join a newly awarded Large Scale project in Dubai, UAE.</strong></p><br><p><strong>Duties and Responsibilities:</strong></p><ul><li><p>Support tile BIM Manager & Coordinator in project/sector BIM execution.</p></li><li><p>Develop all design components such as libraries, families, catalogues, templates, and models using the. relevant modeling tools.</p></li><li><p>Maintain the graphic and non-graphic data embedded in the BIM models, ensure data completeness, correctness, and accuracy.</p></li><li><p>Assist in configuring the Common Data Environment (CDE) for project use.</p></li><li><p>Use the relevant library management tools to build, store and manage model libraries.</p></li><li><p>Prepare packages for submissions.</p></li><li><p>Configure and run clash tests and provide assistance to BIM coordinator as needed.</p></li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Qualifications:</strong></p><ul><li><p>Bachelor's Degree in Civil/Architecture Engineering</p></li><li><p>5 Years of relevant work experience</p></li></ul>

<p>JOB DESCRIPTION</p><p>Office Boy</p><p><br></p><p>Job Purpose</p><p>To maintain office cleanliness, hygiene, pantry services, basic administrative support, and proper handling of office documents and supplies.</p><p><br></p><p>Key Responsibilities</p><p>1. Maintain cleanliness of office areas, furniture, floors, glass surfaces, and washrooms.</p><p>2. Ensure washrooms are adequately stocked with tissue, hand wash, and other essential supplies.</p><p>3. Collect and dispose of office waste in the designated area at the end of the working day.</p><p>4. Serve tea, coffee, and refreshments to management and staff as required.</p><p>5. Monitor stationery, pantry, and kitchen supplies and report replenishment requirements.</p><p>6. Assist with printing, photocopying, scanning, filing, and organizing office documents.</p><p>7. Maintain proper filing and safe handling of company records and documents.</p><p>8. Support general office requirements and other duties assigned by management.</p><p>9. Maintain confidentiality and professional conduct at all times.</p><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>The Reliability, Availability &amp; Maintainability (RAM) Specialist is responsible for performing RAM analyses to ensure that systems, equipment, and assets meet required performance, safety, and lifecycle targets. The role supports design optimization, operational efficiency, and asset integrity by applying reliability engineering principles and quantitative analysis.</p><br><p>The Experienced Professional shall have a university degree or demonstrated equivalent experience in the relevant field, with not less than five (5) years of proven experience in reliability engineering, RAM analysis, or related expertise.</p><br><p>Key Responsibilities</p><br><ul><li><p>Conduct Reliability, Availability, and Maintainability (RAM) studies for systems and assets.</p><br></li><li><p>Perform reliability modeling, simulation, and statistical analysis.</p><br></li><li><p>Develop and maintain reliability block diagrams (RBDs) and fault tree analyses (FTA).</p><br></li><li><p>Support Failure Modes and Effects Analysis (FMEA/FMECA) activities.</p><br></li><li><p>Analyze equipment failure data and identify trends to improve system performance.</p><br></li><li><p>Provide input to maintenance strategies and spare parts optimization.</p><br></li><li><p>Support lifecycle cost analysis and asset performance forecasting.</p><br></li><li><p>Collaborate with engineering, operations, and maintenance teams to improve asset reliability.</p><br></li><li><p>Prepare technical reports and present findings to stakeholders.</p><br></li><li><p>Ensure compliance with applicable industry standards and best practices.</p><br></li></ul><p>Qualifications &amp; Experience</p><br><ul><li><p>Minimum five (5) years of relevant professional experience in RAM analysis, reliability engineering, or asset performance management.</p><br></li><li><p>Experience in infrastructure, oil &amp; gas, power generation, transportation, or similar asset-intensive industries is preferred.</p><br></li><li><p>Professional certification in reliability engineering (e.g., CMRP, CRE) is an advantage.</p><br></li><li><p>Demonstrated experience in quantitative reliability modeling and statistical tools.</p><br></li></ul><p>Technical Competencies</p><br><ul><li><p>Proficiency in RAM modeling software (e.g., Isograph, ReliaSoft, or equivalent).</p><br></li><li><p>Strong knowledge of FMEA, FTA, RBD, Weibull analysis, and reliability statistics.</p><br></li><li><p>Experience in maintenance strategy development (RCM, preventive/predictive maintenance).</p><br></li><li><p>Understanding of lifecycle cost analysis and asset management principles.</p><br></li><li><p>Strong analytical and problem-solving capabilities.</p><br></li></ul><br>Qualifications<br><p>Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial, or related discipline).</p><br><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>The Reliability, Availability &amp; Maintainability (RAM) Specialist is responsible for performing RAM analyses to ensure that systems, equipment, and assets meet required performance, safety, and lifecycle targets. The role supports design optimization, operational efficiency, and asset integrity by applying reliability engineering principles and quantitative analysis.</p><br><p>The Experienced Professional shall have a university degree or demonstrated equivalent experience in the relevant field, with not less than five (5) years of proven experience in reliability engineering, RAM analysis, or related expertise.</p><br><p>Key Responsibilities</p><br><ul><li><p>Conduct Reliability, Availability, and Maintainability (RAM) studies for systems and assets.</p><br></li><li><p>Perform reliability modeling, simulation, and statistical analysis.</p><br></li><li><p>Develop and maintain reliability block diagrams (RBDs) and fault tree analyses (FTA).</p><br></li><li><p>Support Failure Modes and Effects Analysis (FMEA/FMECA) activities.</p><br></li><li><p>Analyze equipment failure data and identify trends to improve system performance.</p><br></li><li><p>Provide input to maintenance strategies and spare parts optimization.</p><br></li><li><p>Support lifecycle cost analysis and asset performance forecasting.</p><br></li><li><p>Collaborate with engineering, operations, and maintenance teams to improve asset reliability.</p><br></li><li><p>Prepare technical reports and present findings to stakeholders.</p><br></li><li><p>Ensure compliance with applicable industry standards and best practices.</p><br></li></ul><p>Qualifications &amp; Experience</p><br><ul><li><p>Minimum five (5) years of relevant professional experience in RAM analysis, reliability engineering, or asset performance management.</p><br></li><li><p>Experience in infrastructure, oil &amp; gas, power generation, transportation, or similar asset-intensive industries is preferred.</p><br></li><li><p>Professional certification in reliability engineering (e.g., CMRP, CRE) is an advantage.</p><br></li><li><p>Demonstrated experience in quantitative reliability modeling and statistical tools.</p><br></li></ul><p>Technical Competencies</p><br><ul><li><p>Proficiency in RAM modeling software (e.g., Isograph, ReliaSoft, or equivalent).</p><br></li><li><p>Strong knowledge of FMEA, FTA, RBD, Weibull analysis, and reliability statistics.</p><br></li><li><p>Experience in maintenance strategy development (RCM, preventive/predictive maintenance).</p><br></li><li><p>Understanding of lifecycle cost analysis and asset management principles.</p><br></li><li><p>Strong analytical and problem-solving capabilities.</p><br></li></ul><br>Qualifications<br><p>Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial, or related discipline).</p><br><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Overview <p>We are seeking a highly motivated and skilled Navigation Engineer to contribute to the development of advanced autonomous navigation capabilities for Unmanned Ground Vehicles (UGVs). This role focuses on designing, implementing, and optimizing planning and control systems for autonomous operation across diverse environments, including off-road terrain, urban settings, and highway scenarios.</p><br><br> <p>The ideal candidate possesses strong expertise in control theory, motion planning, mathematical modeling, system identification, and optimization, combined with hands-on experience developing and validating autonomous navigation solutions in real-world applications. Experience with learning-based control techniques and intelligent decision-making frameworks is highly desirable.</p><br><br> Key Responsibilities <ul> <li>Design, develop, and optimize navigation, planning, and control algorithms for high-performance autonomous ground vehicles. </li><li>Develop accurate mathematical models of vehicle dynamics for simulation, analysis, and real-time implementation. </li><li>Implement advanced control strategies, including adaptive, robust, and predictive control methods, to ensure reliable operation in dynamic and uncertain environments. </li><li>Research, evaluate, and integrate learning-based approaches such as neural network-based system identification and reinforcement learning techniques. </li><li>Integrate navigation solutions with perception, localization, and vehicle software architectures to achieve seamless autonomous operation. </li><li>Conduct simulation, field testing, and performance validation of navigation and control systems. </li><li>Analyze experimental results and system performance to continuously improve accuracy, robustness, safety, and efficiency. </li><li>Develop and maintain technical documentation, including system designs, algorithms, performance analyses, and test reports. </li></ul> Required Qualifications <ul> <li>Master's or PhD degree in Robotics, Control Engineering, Electrical Engineering, Computer Science, Applied Mathematics, or a related discipline. </li><li>Strong theoretical and practical knowledge of motion planning, vehicle control, and autonomous navigation systems. </li><li>Expertise in classical and modern control methods, including control system design, analysis, and optimization. </li><li>Experience with mathematical modeling and system identification techniques. </li><li>Strong programming skills in C++. </li><li>Hands-on experience with ROS/ROS2 and navigation frameworks such as Nav2. </li><li>Strong analytical, problem-solving, troubleshooting, and debugging capabilities. </li><li>Excellent communication and technical writing skills, with the ability to work effectively in multidisciplinary engineering environments. </li></ul> Preferred Qualifications <ul> <li>Experience with optimization and control frameworks such as CasADi, ACADOS, or similar tools. </li><li>Knowledge of learning-based control methodologies and neural network-based system identification. </li><li>Experience applying reinforcement learning techniques to autonomous navigation and decision-making problems. </li><li>Familiarity with simulation environments and autonomous systems validation workflows. </li></ul> <br><br> </div>

Role Description A Data Engineer is responsible for designing, developing, maintaining, and optimizing data infrastructure, pipelines, platforms, and processing systems that enable organizations to collect, transform, store, integrate, and access reliable data. The role works closely with data analysts, data scientists, software engineers, business teams, cloud specialists, and other stakeholders to build scalable and efficient data solutions. Key responsibilities include designing and developing scalable data pipelines and ETL/ELT workflows; collecting and integrating structured and unstructured data from databases, applications, APIs, cloud platforms, files, and external sources; developing data ingestion, transformation, validation, and processing workflows; designing, implementing, and maintaining data warehouses, data lakes, lakehouses, databases, and other data platforms; writing, optimizing, and maintaining complex SQL queries, stored procedures, and data transformations; developing data models and structures that support analytics, reporting, business intelligence, and machine-learning requirements; implementing data-quality checks, validation rules, monitoring, reconciliation, and anomaly detection processes; identifying and resolving data inconsistencies, pipeline failures, performance issues, integration problems, and data-quality defects; optimizing data pipelines, queries, storage, processing performance, scalability, and resource utilization; building and maintaining real-time and batch data-processing solutions; integrating APIs, REST services, JSON, XML, messaging systems, file transfers, and third-party data sources; developing automated workflows and orchestration processes for reliable data delivery; monitoring pipeline execution, system performance, data availability, processing times, failures, and operational alerts; supporting data migration, platform modernization, system integration, and database transformation projects; implementing data governance, metadata management, data lineage, access controls, security, privacy, retention, and compliance requirements; collaborating with data scientists and analysts to prepare high-quality datasets for analytics, machine learning, artificial intelligence, and business intelligence; supporting dashboards, reporting platforms, and analytical applications by providing reliable and well-structured data; using cloud platforms and managed data services to build scalable and cost-efficient data environments; implementing infrastructure-as-code, version control, CI/CD, automated testing, and Dev Ops practices where appropriate; utilizing AI-assisted data engineering, intelligent pipeline monitoring, automated data-quality checks, anomaly detection, predictive maintenance, and workflow automation where appropriate; documenting data architecture, pipelines, data sources, transformations, dependencies, technical procedures, and operational processes; troubleshooting production data issues and participating in incident, problem, and change-management activities; preparing technical documentation, data-quality reports, performance reports, and operational dashboards; evaluating new data technologies, frameworks, tools, and architectures; and continuously improving data reliability, scalability, security, automation, performance, and accessibility. Qualifications Diploma or Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Mathematics, Statistics, or a related discipline. Strong understanding of data engineering, database architecture, data processing, data integration, and data-management principles. Strong SQL skills with experience working with relational databases such as Postgre SQL, MySQL, SQL Server, Oracle, or equivalent platforms. Strong programming or scripting skills in Python, Java, Scala, Go, or similar technologies. Strong understanding of ETL/ELT pipelines, data transformation, data modeling, data validation, and workflow orchestration. Familiarity with data warehouses, data lakes, lakehouses, distributed data systems, and cloud-based data platforms. Knowledge of AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, Big Query, Redshift, or equivalent technologies is advantageous. Familiarity with Apache Spark, Kafka, Airflow, dbt, Flink, or other modern data-engineering technologies. Understanding of batch processing, stream processing, real-time data pipelines, event-driven architecture, and distributed computing. Familiarity with REST APIs, JSON, XML, web services, message queues, and system integrations. Knowledge of data modeling techniques, dimensional modeling, star schemas, data normalization, and data warehouse architecture. Familiarity with Git, CI/CD, Docker, Kubernetes, Terraform, and Dev Ops practices is beneficial. Strong understanding of data quality, data governance, metadata, lineage, security, privacy, and access management. Familiarity with Power BI, Tableau, Looker, or other business-intelligence platforms is advantageous. Knowledge of machine-learning data pipelines, feature engineering, AI data infrastructure, and MLOps is beneficial. Familiarity with AI-powered data-quality monitoring, automated anomaly detection, intelligent pipeline optimization, and data automation is advantageous. Strong analytical, troubleshooting, problem-solving, and system-design skills. Strong communication and collaboration skills with technical and non-technical stakeholders. Ability to manage multiple data projects, pipelines, technical issues, priorities, and deadlines. Strong technical documentation and knowledge-sharing skills. Relevant certifications in cloud computing, databases, data engineering, or related technologies are advantageous. High level of accuracy, reliability, security awareness, accountability, and technical discipline. Strong commitment to continuous learning and staying current with cloud computing, big data, AI, machine learning, data architecture, automation, and emerging data technologies.

Role: Strategy Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $154 - $210/hour<br>Role Overview:We are hiring for one of our clients, seeking a Management Consultant to work on a contract basis. The role involves developing strategic recommendations to improve business performance and operational efficiency. You will analyze complex data sets to identify trends and provide actionable insights to senior leadership.<br>Key Responsibilities:• Develop and present detailed business cases to support strategic decision-making.• Conduct market and competitive analysis to inform client positioning and growth strategies.• Lead cross-functional workshops to align stakeholders on key initiatives and outcomes.• Design and implement frameworks for measuring business performance and ROI.• Collaborate with senior consultants to refine methodologies and deliver high-impact solutions.<br>Required Skills & Qualifications:• Proven experience in management consulting or strategic advisory roles.• Strong analytical skills with proficiency in data visualization tools like Tableau or Power BI.• Excellent written and verbal communication skills for presenting findings to executives.• Experience in financial modeling and business case development.• Ability to work independently in a remote setting with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the transformation of core business processes. You will have the chance to shape high-impact projects that drive measurable outcomes for Fortune 500 clients.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Job Description – Executive Manager - AI-Cyber Technical Lead<br>Job Summary We are seeking an experienced Executive Manager / Squad Cyber Technical Lead to lead our Cyber Security Engineering function. The ideal candidate will drive enterprise-wide security initiatives across Application Security, Dev Sec Ops, Cloud Security, and AI Security, ensuring secure software development, cloud infrastructure protection, and compliance with regulatory and industry security standards.<br>Key Responsibilities Lead Cyber Security Engineering and Dev Sec Ops initiatives across the organization. Embed security into the Software Development Lifecycle (Secure SDLC) and CI/CD pipelines. Drive Application Security programs, including SAST, DAST, SCA, threat modeling, and vulnerability management. Design and implement security controls for Azure and AWS cloud environments. Establish AI Security and Governance frameworks aligned with industry standards such as NIST AI RMF and ISO/IEC 42001. Manage enterprise security tools including Sonar Qube, Snyk, Microsoft Defender for Cloud, AWS Security Hub, Service Now IRM, and similar platforms. Collaborate with Engineering, Architecture, Infrastructure, Risk, and Compliance teams to deliver secure technology solutions. Ensure compliance with regulatory requirements and support security audits. Mentor and lead Cyber Security Engineering teams while driving continuous improvement and innovation.<br>Required Skills & Experience15+ years of overall IT experience with at least 12 years in Cyber Security. Strong experience in Cyber Security Engineering, Dev Sec Ops, Application Security, and Cloud Security. Hands-on expertise with Azure and AWS security. Experience implementing Secure SDLC and integrating security into CI/CD pipelines. Strong knowledge of security architecture, vulnerability management, API security, container security, and Kubernetes security. Exposure to AI/LLM Security and AI Governance is highly preferred. Banking, Financial Services, or other regulated industry experience is highly desirable. Excellent leadership, stakeholder management, and communication skills.

Role: Pharmacology Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Pharmacology Expert to work on a contract basis. The role involves evaluating and analyzing pharmacological data to support drug development and regulatory submissions. You will contribute to clinical trial design and safety assessments while collaborating with cross-functional teams in a fast-paced environment.<br>Key Responsibilities:• Conduct in-depth literature reviews and preclinical study evaluations to assess drug action mechanisms.• Analyze pharmacokinetic and pharmacodynamic data to inform dosing strategies and therapeutic outcomes.• Develop and refine pharmacology models to predict drug interactions and adverse effects.• Prepare and review regulatory documents, including investigator brochures and clinical trial protocols.• Provide expert guidance on pharmacological safety and efficacy to support approval processes.<br>Required Skills & Qualifications:• Minimum of 5 years of experience in pharmacology research or drug development.• Proficiency in analyzing pharmacological datasets using statistical software and modeling tools.• Strong understanding of FDA and EMA regulatory guidelines for drug approval.• Experience in drafting technical reports and contributing to scientific publications.• Ability to synthesize complex data into actionable insights for clinical teams.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the pharmaceutical industry, contributing to the advancement of life-saving therapies. You will engage with cutting-edge research initiatives and collaborate with experts across multiple therapeutic areas.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role:Member of Technical Staff, Finance Research (Remote) Location: Remote (Work from Anywhere) Job Type:Full-Time Payout:$350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Finance Research to work on a full-time basis. The role involves conducting deep financial research and analysis to inform investment decisions and strategic initiatives. You will collaborate with cross-functional teams to develop models and frameworks that drive financial outcomes.<br>Key Responsibilities:• Design and implement quantitative models to analyze financial markets, trends, and investment opportunities.• Conduct rigorous research on financial instruments, economic indicators, and sector-specific developments.• Develop and refine algorithms for automated financial analysis and decision-making processes.• Collaborate with data science and engineering teams to integrate research findings into scalable solutions.• Present research insights and recommendations to stakeholders, including senior leadership.<br>Required Skills & Qualifications:• Proficiency in Python, R, or similar programming languages for financial modeling and analysis.• Experience with financial data analysis, including market data, financial statements, and economic indicators.• Strong background in quantitative finance, econometrics, or related fields.• Ability to develop and validate financial models and algorithms.• Experience working with large datasets and extracting actionable insights.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of next-generation financial research tools. The position provides exposure to cutting-edge research and the chance to shape the future of financial analysis.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!