وظائف Deeplight

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> We combine deep expertise in data engineering, cloud architecture, AI/ML platforms, and systems integration with a practical understanding of complex enterprise operations.<br> With deep roots across the financial services and banking sectors, we help major institutions bridge the gap between complex data infrastructure and actionable AI strategy.<br> We don't build temporary fixes—we engineer secure, scalable, and resilient data foundations designed to power production AI at scale.<br> The Opportunity We are seeking a Data Engineer with strong AWS and banking sector experience to join our core engineering squad in the UAE.<br> In this role, you will design, construct, and optimize scalable Lakehouse data solutions that power enterprise analytics and advanced machine learning models.<br> Operating at the intersection of big data, cloud architecture, and MLOps, you will unify data warehousing and data lake capabilities to process complex, high-volume financial data while maintaining strict banking security, ACID compliance, and data governance standards.<br> What You’ll Do.<br>... Build Next-Gen Lakehouse Architectures: Design, build, and optimize scalable data solutions using Lakehouse architectures (Databricks, Delta Lake) to unify data warehousing and data lake capabilities on AWS.<br> Develop High-Throughput Pipelines: Build robust batch and real-time ETL/ELT pipelines using PySpark, Apache Kafka, and SQL to ingest and transform complex financial datasets from core banking, market data, and transactional systems.<br> Optimize for Scale &amp; FinOps: Maximize query performance and storage efficiency across AWS services (S3, Redshift, EMR, Athena, Glue) using advanced partitioning, indexing, and parallel processing to drive down latency and cloud compute costs.<br> Support Machine Learning &amp; MLOps: Partner with Data Scientists and MLOps Engineers to build automated feature engineering pipelines, track experiments (MLflow), containerize workflows (Docker, EKS), and deploy models to production (AWS SageMaker).<br> Enforce Banking-Grade Governance: Implement end-to-end data security, encryption, access controls, and audit trails to ensure 100% compliance with Central Bank data sovereignty and privacy mandates.<br> Automate Everything: Drive software engineering best practices by managing Infrastructure as Code (Terraform), authoring CI/CD pipelines (GitHub Actions/CodePipeline), and writing clean, well-tested Python code.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive 'Gold Level' personal health insurance Individual Visa Sponsorship Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> What We’re Looking For Hands-on data engineering experience directly within banking, financial services, or fintech environments, with a strong understanding of transactional datasets and regulatory compliance.<br> Deep technical command of core AWS data services (S3, Glue, EMR, Redshift) alongside distributed processing engines (Apache Spark / PySpark, Apache Kafka).<br> Proven track record building and managing Lakehouse architectures (Databricks, Delta Lake) with expert knowledge of data modeling, schema evolution, and ACID principles.<br> High proficiency in Python and SQL (Scala is a plus), alongside practical experience with Docker, Kubernetes (EKS), Terraform, and Git workflows.<br> Excellent analytical problem-solving skills with the ability to articulate complex technical concepts clearly to cross-functional teams and client stakeholders.<br> What Gives You an Edge AWS Certified Data Engineer, AWS Solutions Architect, or Databricks Certified Data Engineer.<br> Hands-on experience with streaming analytics frameworks (Apache Flink, Spark Streaming) for real-time fraud detection or trade processing pipelines.<br> Production experience with modern workflow schedulers like Apache Airflow or Prefect.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> We combine deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex corporate operations.<br> With particular depth in the financial services and banking sectors, we help our clients bridge the gap between complex data and actionable business strategy.<br> We don't believe in "off-the-shelf" fixes—we build secure, scalable solutions that integrate seamlessly into enterprise architectures.<br> The Opportunity We are seeking a Data Scientist with deep banking domain awareness to design, develop, and deploy robust statistical models and data-driven solutions for our premier regional clients.<br> In this role, you will work across Treasury, Wholesale Banking, and Corporate Lending divisions to build high-impact risk models, portfolio optimization frameworks, and regulatory capital solutions.<br> Operating at the intersection of quantitative science and practical banking operations, you will translate complex financial challenges into precise, production-ready statistical solutions.<br> What You’ll Do Build Advanced Risk Models: Design and implement statistical risk models for corporate lending, wholesale banking, liquidity management, and treasury operations—including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) architectures.<br> Optimize Capital &amp; Returns: Build analytical modules for Risk-Adjusted Return on Capital (RAROC) and Risk-Adjusted Capital (RAC) optimization frameworks to help business lines maximize risk-adjusted returns.<br> Ensure Regulatory Alignment: Apply Basel requirements (Basel III/IV), stress testing frameworks, and regulatory capital rules to guarantee all model designs conform to global and regional banking standards.<br> Drive Engineering Excellence: Write clean, modular, and well-documented Python code while actively participating in peer code reviews to maintain high scientific and software engineering standards across engagement squads.<br> Collaborate &amp; Communicate: Partner closely with client risk officers, business analysts, and technical leads to decompose complex requirements, present quantitative findings, and defend model methodologies.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive 'Gold Level' personal health insurance Individual Visa Sponsorship Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> What We’re Looking For Hands-on experience developing statistical risk models or quantitative frameworks within corporate banking, wholesale banking, or treasury environments.<br> A strong theoretical and practical understanding of the quantitative, mathematical, and probabilistic concepts underlying ML and statistical tools—going beyond high-level library calls to understand the science behind them.<br> Strong proficiency in Python and its scientific computing ecosystem (NumPy, SciPy, Pandas, Scikit-learn, Statsmodels, PyTorch/TensorFlow).<br> Solid working knowledge of the Basel III/IV framework, regulatory capital calculations, and banking stress testing protocols.<br> Excellent analytical problem-solving skills, rigorous attention to detail, and the ability to explain complex statistical trade-offs clearly to diverse technical and business audiences.<br> A Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related quantitative discipline.<br> What Gives You an Edge Experience running experiments and performing causal analysis for high-stakes financial decisions.<br> Familiarity with Transformers and sequence models for tasks like financial sentiment analysis and time-series forecasting.<br> Hands-on experience using PySpark, Spark, or Dask to process and train models on petabyte-scale enterprise data lakes.<br> Skill in creating interactive data narratives and dashboards (e.<br>g., Streamlit, Plotly) to communicate findings to executive audiences.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> The Treasury Project Manager position plans, governs, and executes technology and data transformation projects within corporate treasury and banking environments.<br> Positioned at the intersection of treasury operations, data architecture, and enterprise software delivery, this role drives multi-stream delivery workflows—including core treasury management system (TMS) implementations, liquidity platform upgrades, regulatory reporting data pipelines, and historical treasury data migrations.<br> The role functions through two primary operational lenses: Treasury Transformation Focus: Governing full-lifecycle system upgrades, platform consolidations, and operational change across treasury, cash management, liquidity, and trading applications.<br> Data &amp; Migration Focus: Governing enterprise data architecture alignment, ETL/ELT pipeline deployment, schema mapping, and data migration execution across treasury data lakes and legacy core systems.<br> Regardless of focus stream, the position serves as the central operational bridge between business treasury stakeholders, quantitative analysts, data engineering squads, and enterprise IT leads, ensuring that system integrations and data migrations are executed with zero data loss, operational continuity, and strict regulatory alignment.<br> Responsibilities1.<br> Project Planning, Governance &amp; Delivery Lifecycle Oversight: Construct and maintain multi-tier project plans, work breakdown structures, scope baselines, and execution roadmaps across Agile, Waterfall, or hybrid delivery frameworks.<br> Scope &amp; Financial Governance: Monitor, control, and report on project scope, financial baselines, resource utilization, and change request procedures to prevent scope creep and budget variances.<br> Governance Reporting: Produce executive status reporting, performance metrics, and audit-ready project documentation aligned with institutional governance standards.<br> 2. Treasury Data Migration &amp; Integration Management Data Migration Execution: Direct the end-to-end data migration lifecycle for treasury platforms—encompassing historical trade, cash flow, position, and market data extraction, cleansing, transformation, schema mapping, and cutover reconciliation.<br> Parallel-Run &amp; Reconciliation Frameworks: Establish dual-run procedures, automated reconciliation scripts, and contingency fallback pathways to verify zero information loss and service continuity during cutovers.<br> Target System Integration: Oversee technical integration touchpoints between enterprise Treasury Management Systems (e.<br>g., FIS Quantum, Murex, Calypso, Kyriba), core banking ledgers, market data feeds (Bloomberg/Refinitiv), and downstream analytics platforms.<br> 3. Risk, Regulatory &amp; Domain Control Banking RAID Management: Maintain continuous risk management procedures to identify, document, and neutralize banking-specific Risks, Assumptions, Issues, and Dependencies (RAID)—including valuation anomalies, data integrity gaps, and reconciliation failures.<br> Regulatory Compliance Frameworks: Ensure project architecture, security protocols, and data workflows conform to international and local financial mandates (e.<br>g., Basel III/IV, IFRS 9, ALM, IBOR transition, and Central Bank data sovereignty laws).<br> Data Lineage &amp; Audit Readiness: Enforce end-to-end data lineage tracking and audit logging across active and historical treasury datasets to satisfy compliance and internal audit reviews.<br> 4. Stakeholder Orchestration &amp; Vendor Oversight Cross-Functional Alignment: Facilitate structural communication and decision-making across Executive Sponsors, Treasury Business Leads, IT Architects, Risk Officers, and Engineering Squads.<br> Third-Party Vendor Management: Manage technical delivery deliverables, contract milestones, and service level agreements (SLAs) for external treasury software vendors and integration partners.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: A solid functional understanding of core treasury operations, including cash management, liquidity planning, asset-liability management (ALM), FX risk, or trade processing workflows.<br> Practical capability to govern complex data migration strategies, schema mapping, historical data cleansing, dual-run testing, and cutover reconciliation.<br> The ability to evaluate data architectures, relational/SQL structures, integration patterns (APIs, ETL/ELT pipelines), and system interface specifications.<br> A demonstrated ability to manage, control, and baseline project scope, financial budgets, resource allocations, and change requests in high-stakes banking environments.<br> Working knowledge of banking compliance standards, data privacy mandates (PII), and regulatory reporting requirements applicable to treasury operations.<br> Operational mastery of software development life cycle (SDLC) models and project governance frameworks (PMP, PRINCE2, Agile/Scrum) Significant experience working within financial services, corporate banking, or capital markets environments on central IT, data, or treasury transformation projects.<br> Proven history governing large-scale system implementations, platform consolidations, or enterprise data migration programs.<br> Hold a Bachelor’s degree in Computer Science, Information Systems, Finance, Quantitative Economics, or a related discipline (or equivalent practical experience).<br> It would also be beneficial if you have: Professional experience operating within a consultancy or professional services capacity, managing client-facing delivery and cross-functional project teams.<br> A formal certification in recognised project management methodologies (PMP, PRINCE2, PMI-ACP, or CSM).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At DeepLight AI, we build intelligent enterprise systems that transform industries.<br> As a specialized AI and data consultancy, we combine deep data science, AI/ML engineering, and systems integration with real-world business acumen—with deep dominance in financial services, banking, and energy across the region.<br> Our greatest asset is our people.<br> We’re seeking a high-impact commercial driver who isn't just exceptional in their craft, but is a compelling communicator and a persuasive advocate for transformative technology.<br> The Opportunity Positioned uniquely within our People &amp; Business Development Team, this hybrid, high-visibility role places you at the centre of our growth.<br> You will be the primary engine driving our enterprise sales pipeline across the UAE and broader GCC—identifying, pitching, and closing complex consulting deals.<br> Crucially, you won't just win the deal; you’ll help assemble the elite squad that delivers it.<br> By managing specialized tech talent sourcing and light HR coordination alongside your sales mandate, you will bridge client acquisition directly with rapid team deployment.<br> What You’ll Do Commercial Growth &amp; Pipeline Enterprise (Primary Focus) Target &amp; Map: Identify and qualify high-value enterprise accounts across key sectors (Banking, Financial Services, Energy) in the UAE and wider GCC.<br> End-to-End Sales Ownership: Lead the complete sales lifecycle in our CRM—from cold outbound prospecting and discovery calls to contract execution and deal closure.<br> Proposal &amp; RFP Management: Partner with internal technical and delivery leads to craft compelling commercial proposals, Statements of Work (SOWs), and formal RFP submissions.<br> Deal Structuring: Guide commercial discussions, fee structures, and Master Service Agreements (MSAs) while safeguarding corporate margin guidelines.<br> Client Relationship Management: Maintain key post-sale touchpoints to uncover upsell and cross-sell opportunities while driving ongoing client satisfaction.<br> Talent Acquisition &amp; People Coordination Specialized Sourcing: Screen high-calibre AI, Data, and Cloud consulting talent aligned with active and pipeline client demand.<br> Interview Orchestration: Coordinate full-cycle interview workflows, technical assessments, panel interviews, and feedback consolidation across internal and client teams.<br> Onboarding &amp; Operations Support: Draft offer letters compliant with UAE labor regulations, support visa/labor documentation gathering, track probation milestones, and facilitate seamless new-joiner onboarding and client-site clearance.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> What You Bring A Proven Commercial Track Record - Demonstrable success meeting and exceeding revenue targets in B2B sales/business development within a tech consultancy, professional services firm, or growth operations setting.<br> GCC Market Acumen - Direct experience operating within the UAE/GCC commercial ecosystem, supported by an established network of business/tech contacts (ideally within enterprise banking or financial institutions).<br> Industry &amp; Technical Background - Experience in technology-focused environments (AI, Data, or Cloud preferred) combined with direct experience in or exposure to Financial Services.<br> Consulting Sales Expertise - Solid understanding of consulting commercials, SOW structures, fixed-price vs.<br> time-and-materials contracts, and standard NDAs/MSAs.<br> Dual-Track Execution - Exceptional time management skills to balance aggressive outbound pipeline building with time-sensitive candidate screening and HR deadlines.<br> Hold a Bachelor’s degree in Business Management, Business Administration, or a related field (or equivalent practical experience).<br> It would also be great if you have: Proficiency in modern sourcing techniques (LinkedIn Recruiter, direct headhunting) and structured candidate profiling.<br> Hands-on experience operating modern CRMs, ATS, and HRIS platforms.<br> Capability to support social media, LinkedIn, or event campaigns to boost brand visibility for both prospective clients and top-tier tech talent.<br> How Success is Measured (KPIs) Commercial Growth KPIs Total monetary value of qualified enterprise opportunities generated per quarter.<br> Conversion percentage of proposals into signed SOWs/MSAs against defined revenue targets.<br> Consistency and accuracy of deal stage tracking, activity logging, and revenue forecasting in the CRM.<br> Recruitment &amp; People KPIs Average time-to-fill for sourcing, interviewing, and onboarding qualified technical consultants.<br> Candidate pass rate from initial screening to secondary technical rounds with delivery leads.<br> 100% compliance rate for required HR, legal, and client-clearance documentation prior to candidate start dates.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.<br> Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.<br> The Data Architect leads the design and execution of robust, enterprise-grade data architectures that support AI initiatives, advanced analytics, and business intelligence efforts.<br> Operating within client environments with a strong focus on financial services, banking, and treasury domain frameworks, this role translates complex business and regulatory requirements into scalable, secure, and performant data structures.<br> The Data Architect collaborates closely with data engineers, data scientists, and business stakeholders to ensure that foundational data systems align directly with strategic corporate goals.<br> Key ResponsibilitiesArchitectural Design &amp; Treasury Data Modeling Lead the design and implementation of scalable data architectures, enterprise data lakes, and modern warehouse frameworks that address current and future analytical needs.<br> Develop and maintain conceptual, logical, and physical data models (relational, dimensional, NoSQL) to support complex analytics, reporting, and specialized treasury operations (e.<br>g., cash management, liquidity risk, asset-liability management).<br> Design seamless data flows and integration strategies across core banking, treasury management systems (TMS), external market feeds, and downstream AI/ML pipelines.<br> Standards, Governance &amp; Security Establish data governance, data lineage, quality control standards, and design guidelines that enforce data integrity, security, and auditability.<br> Ensure all data architectures adhere to local and international financial regulatory requirements, data privacy mandates, encryption protocols, and strict access controls.<br> Collaboration, Optimization &amp; Innovation Work closely with data engineers, data analysts, AI specialists, and treasury stakeholders to gather requirements and convert business goals into technical execution.<br> Monitor and optimize database performance, ensuring efficient query execution, low-latency access, partitioning, and indexing strategies across cloud and on-premise platforms.<br> Create and maintain comprehensive documentation covering data models, system topologies, data dictionaries, and architectural guidelines accessible to all organizational levels.<br> Evaluate emerging technologies, cloud capabilities, and data tools to provide data-driven recommendations that elevate the firm’s data and AI capabilities.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: Strong mastery of data modeling methodologies (relational, dimensional, star/snowflake schemas, Data Vault, NoSQL) and database engines (e.<br>g., PostgreSQL, Oracle, SQL Server, MongoDB).<br> Deep functional knowledge of modern cloud-based data solutions (Azure, AWS, or GCP), cloud data warehouses (e.<br>g., Snowflake, BigQuery, Synapse), and advanced ETL/ELT orchestration patterns.<br> Solid understanding of data governance principles, metadata management, enterprise data security, and compliance frameworks applicable to financial systems.<br> Excellent communication skills, with a proven ability to explain complex technical designs, data flows, and trade-offs to non-technical stakeholders and executive leadership.<br> Outstanding analytical skills and a structured approach to resolving complex architectural bottlenecks in fast-paced, multidisciplinary team environments.<br> Direct experience working with financial services, corporate treasury operations, banking systems, or financial risk platforms, understanding core treasury concepts such as liquidity, cash positioning, and financial messaging standards.<br> Proven experience operating as a Data Architect or Principal Data Engineer, with a verifiable portfolio of designing and implementing complex, scalable enterprise data architectures.<br> Demonstrated background in designing enterprise-grade data pipelines, integrating disparate real-time and batch data sources into unified analytics architectures.<br> Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related quantitative discipline (or equivalent practical experience).<br> We'd also like you to have: Direct hands-on experience integrating major Treasury Management Systems (e.<br>g., FIS Integrity, Murex, Kyriba, SAP Treasury) or financial messaging protocols (e.<br>g., SWIFT, ISO 20022).<br> Familiarity with data preparation requirements for machine learning models, feature stores, and vector database structures for AI application consumption.<br> Formal industry credentials such as TOGAF, AWS Certified Data Analytics / Solutions Architect, Azure Solutions Architect Expert, or Certified Data Management Professional (CDMP).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors – with a deep-rooted expertise in Financial Services and Banking – to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> On a data platform, the thing under test is the data.<br> As a QA Engineer, you own how we prove our platforms work end to end – from the pipelines that move and transform data to the API layers that expose it.<br> This is a verification role: you don't build the pipelines, you build the confidence that they are correct.<br> You won't just be "checking boxes"; you will be thinking critically about how data flows from source to insight and out to the consumer, ensuring every transformation and every endpoint maintains the integrity required for high-stakes financial services environments.<br> Your responsibilities as a QA Engineer include; Designing, building, and owning automated test suites – functional, integration, and end-to-end – embedded into CI so quality gates run continuously.<br> Testing the platform's API layer through contract testing, schema validation, and end-to-end checks against externally-consumed and partner-facing data APIs.<br> Performing rigorous source-to-target reconciliation and checksums to ensure no "silent failures" occur during complex AWS Glue or Data Factory transformations.<br> Extending and running Soda Core checks across Bronze, Silver, and Gold layers, and verifying that quality gates fire correctly as part of your automated suites.<br> Monitoring automated alerts, performing initial root-cause analysis on data drift or schema failures, and collaborating with squads to implement permanent countermeasures.<br> Working alongside Data Engineering squads to embed automated validation into live data flows, and supporting the data contracts and OpenMetadata lineage that producers and consumers rely on.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data engineering and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> What we need from you: 2–4 years of experience in QA / test automation, ideally on data-intensive or backend platforms.<br> Strong proficiency in SQL and Python for test automation, data validation, and scripting.<br> Practical experience with API and contract testing (e.<br>g. REST, schema/contract validation).<br> Hands-on experience designing and maintaining automated test frameworks and CI-embedded suites.<br> Practical understanding of Lakehouse architectures and the Medallion (Bronze/Silver/Gold) design pattern.<br> Hands-on experience with AWS services (specifically S3, Glue, and Athena) or similar cloud data stacks.<br> A degree in Computer Science, Data Science, Information Systems, or a related field.<br> The ability to look beyond a failed check to understand the root cause and its broader business impact.<br> An uncompromising eye for accuracy, ensuring referential integrity, reconciliation, and checksums are perfectly aligned.<br> Comfortable working in fast-paced environments using Jira and participating actively in Scrum ceremonies.<br> The ability to communicate technical issues clearly and constructively, fostering a culture of quality within the engineering team.<br> It would also be great if you have: Experience testing externally-consumed or partner-facing APIs, particularly in regulated data-sharing contexts.<br> Hands-on exposure to data-quality tooling such as Soda Core or equivalents.<br> Prior exposure to OpenMetadata or other lineage and metadata management tools.<br> A proactive drive to identify repetitive tasks and develop scripts to increase team efficiency.<br> Familiarity with the specific data challenges found within the Financial Services or Banking sectors.<br></span> </div>