data scientist

devops engineer

ai engineer

project engineer

data architect

data pipeline engineer

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

Contango

<div>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
  </li>
  <li>
   Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
  </li>
  <li>
   Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
  </li>
  <li>
   Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
  </li>
  <li>
   Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
  </li>
  <li>
   Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
  </li>
  <li>
   Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
  </li>
  <li>
   Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
  </li>
  <li>
   Prior experience at management consulting firms and/or Big Tech is an advantage.
  </li>
  <li>
   Strong programming in Python and SQL with solid software engineering fundamentals.
  </li>
  <li>
   Hands-on experience with Spark/PySpark and big-data processing at scale.
  </li>
  <li>
   Proven experience building production ETL/ELT pipelines.
  </li>
  <li>
   Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.
  </li>
  <li>
   Experience with a modern data platform (Databricks, Snowflake, or equivalent).
  </li>
  <li>
   Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).
  </li>
  <li>
   Understanding of data warehousing concepts, data modeling, data governance, and security best practices.
  </li>
  <li>
   Experience with dashboard or frontend engineering is a plus.
  </li>
  <li>
   Strong collaboration and communication skills, with the ability to work directly with clients.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
  </li>
  <li>
   3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.
  </li>
  <li>
   Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.
  </li>
 </ul>
</div>


Data Engineer (6 months contract)

HTC Global Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer (Innovation) with 6+ years of experience to design, develop and maintain data pipelines to support AI initiatives.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with data scientists to understand requirements and ensure data availability and quality.
  </li>
  <li>
   Implement data processing and transformation logic to prepare data for analysis and modelling.
  </li>
  <li>
   Monitor and optimize data pipelines for performance, scalability, and reliability.
  </li>
  <li>
   Stay abreast of the latest advancements in data engineering technologies and best practices.
  </li>
  <li>
   Contribute to low-level architecture/technical design aligned to the high-level solution and business
  </li>
  <li>
   requirements
  </li>
  <li>
   Work within the agile development team to analyse and decompose stories into tasks for simpler
  </li>
  <li>
   implementation
  </li>
  <li>
   Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
  </li>
  <li>
   Responsible for the end-to-end quality of your own deliverables
  </li>
  <li>
   Communicate clearly and effectively with team members throughout all the implementation lifecycle
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
  </li>
  <li>
   Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
  </li>
  <li>
   Strong understanding of database technologies and SQL.
  </li>
  <li>
   Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
</div>


Data Engineer (Innovation)

Birbal AI

<div>
 <p>
  The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Develop, maintain, and optimize data pipelines and data integration workflows.
 </p>
 <p>
  Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 </p>
 <p>
  Support data extraction, transformation, loading, and reconciliation activities.
 </p>
 <p>
  Build and maintain datasets for dashboards, reports, and analytics.
 </p>
 <p>
  Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 </p>
 <p>
  Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 </p>
 <p>
  Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 </p>
 <p>
  Support automation workflows using Power Automate or similar platforms.
 </p>
 <p>
  Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 </p>
 <p>
  Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 </p>
 <p>
  Ensure data security, confidentiality, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Strong SQL development and database knowledge.
 </p>
 <p>
  Experience in ETL/ELT, data pipelines, and data integration.
 </p>
 <p>
  Knowledge of CRM/Dataverse or similar enterprise application data models.
 </p>
 <p>
  Experience with Power BI datasets, reporting databases, or analytics platforms.
 </p>
 <p>
  Understanding of APIs, data exchange, and system integration.
 </p>
 <p>
  Good knowledge of data validation, data reconciliation, and data troubleshooting.
 </p>
 <p>
  Strong analytical, problem-solving, and communication skills.
 </p>
</div>


Data Engineer – SQL, Power BI & Dataverse

bankfab

<div><div>Job Description</div>
<div>
<p><b>Responsibilities:
</b></p><ul><li>Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
</li></ul><ul><li>Process and manage complex datasets to support business and analytical needs
</li></ul><ul><li>Conduct regular testing and enhancement of data pipelines to improve efficiency
</li></ul><ul><li>Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
</li></ul><ul><li>Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility
</li></ul><ul><li>Implement best practices for data governance, security, and quality assurance
</li></ul><ul><li>Document data architectures, lineage, and metadata to ensure transparency and reproducibility
</li></ul><p></p><p><b>Qualifications:
</b></p><ul><li>5+ years of experience in data engineering, ETL development, or data warehousing
</li></ul><ul><li>Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
</li></ul><ul><li>Experience with big data architectures and optimizing data pipelines
</li></ul><ul><li>Deep familiarity with SQL for data manipulation and querying
</li></ul><ul><li>Strong coding skills in Python, and at least one other language (Scala/Java)
</li></ul><ul><li>Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
</li></ul><ul><li>Strong analytical skills for working with large-scale unstructured datasets
</li></ul><ul><li>Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
</li></ul><ul><li>Educational qualifications: Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required</li></ul></div></div>
<br><div><div>Responsibilities</div></div><div></div>
<br><div><div>Qualifications</div></div><div></div>
<br><div><div>About Us</div>
<div><div><b>About Us:<br>
</b></div><div></div><br>
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br>
</div><div></div><br>
<div><b>Life at FAB:<br>
</b></div><div></div><br>
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br>
</div><div></div><br>
<div><b>Career Development:<br>
</b></div><div></div><br>
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br>
</div><div></div><br>
<div><b>Our Values:<br>
</b></div><div></div><br>
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br>
</div><div></div><br>
<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Data Architect

GSSTech Group

<div><p>The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client&rsquo;s applications and platforms including the SupTech program, Payments &amp; Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline.</p><p>
This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries. The Senior Test Automation Engineer will drive continuous improvement in test automation practices &amp; tooling to meet Client&rsquo;s quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, &amp; compliance with industry standards and internal policies</p><p>
 Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox</p><p>
The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client.</p><p>
Key Responsibilities</p><p><b>
Core Responsibilities</b></p><p>
Enhance and implement a robust, scalable, and maintainable test automation solutions for Client&rsquo;s applications stack. The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs. It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment.</p><p><b>
1. Test Automation Strategy, Design and Implementation</b></p><ul><li>Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments &amp; Reporting, and other critical systems).</li><li>Analyze business, functional, and technical requirements to design effective automated test scenarios and suites.</li><li>Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression).</li><li>Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices.</li><li>Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle.</li></ul><p><b>
2. Test Development, Execution and maintenance</b></p><ul><li>Develop, review, and optimize automated test scripts using approved tools and languages.</li><li>Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting.</li><li>Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions.</li><li>Ensure timely execution of automated suites in line with release schedules and quality KPIs.</li><li>Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators.</li></ul><p><b>
3. Quality Engineering, Standards and Governance</b></p><ul><li>Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e.g., Test-Driven, Behaviour-Driven, shift-left testing).</li><li>Contribute to maintain test data &amp; environment management, test configuration standard</li><li>Support the establishment and tracking of quality metrics (e.g., test coverage, defect leakage, automation coverage, and execution duration).</li><li>Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards.</li></ul><p><b>
4. Collaboration, Stakeholder Engagement and Support</b></p><ul><li>Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle.</li><li>Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges.</li><li>Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives.</li></ul><p><b>
5. Tooling, Innovation and continuous improvement</b></p><ul><li>Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client&rsquo;s technology stack.</li><li>Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant.</li><li>Continuously optimize test suites (e.g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed.</li><li>Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams.</li><li>Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests.</li></ul><p><b>
6. Documentation and Knowledge management</b></p><ul><li>Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes.</li><li>Document and share lessons learned, best practices, and guidelines for effective automation of quality.</li><li>Perform any other duties outside the scope as and when required.</li></ul><p><b>
Self-Management Responsibilities</b></p><ul><li><b>Professional Development: </b>Identify and pursue training opportunities to enhance skills and competencies.</li><li><b>Competency Mastery: </b>Strive for excellence across all required competencies for the role.</li><li><b>Industry Awareness: </b>Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability.</li></ul><b><br>
Requirements</b><div><br>
Threshold Qualifications:<br>
<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Software Engineering (IT)</li></ul></div><ul><li>Professional certifications in Software Testing Automation.</li><li>Extensive expertise in Tricentis TOSCA automation tool, NEOLOAD performance testing tool</li><li>ISTQB, Cypress/Appium certifications, Agile/Scrum, DevSecOps, CI/CD would be an advantage.</li><li>Certifications in mobile testing tools (Appium, XCUITest, Espresso, Detox)</li><li>Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred</li></ul><br>
<b>
Experience:</b><br>
<br>
<ul><li>Minimum of 6+ years of hands-on experience in software testing with a strong focus on test automation across UI, API, and integration layers.</li><li>Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications.</li></ul><br>
<b>
Technical Skills: </b>Tosca Automation Specialist:<br>
<br>
<ul><li>Tosca Installation Setup, Server management, Tosca Commander workspace navigation, Scanning modules.</li><li>Test Data Service (TDS) for data creation, Test case design (TCD), Test data management (TDM), Setting up Distributed Execution (DEX) agents.</li><li>Parameterization, Synchronization, Simulation, Integration testing.</li><li>Proficiency in Selenium, JMeter/LoadRunner, REST/SOAP, Postman, Appium, Espresso, XCUITest, Detox</li><li>Scripting language for test automation (Java, JavaScript, Python)</li><li>CI/CD/CT Pipeline Experience: Integrating automated tests within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous testing workflows. Experience with CI/CD/CT orchestration and pipeline management</li></ul><br>
<b>
Preferred Skills</b>:<ul><li>Advanced module design patterns, recovery scenarios, utilizing libraries to maintain stable automated suites.</li><li>Skills to automate API/Microservices testing (REST/SOAP, Postman, Swagger)</li><li>Data-driven tests to maximize coverage with minimal test cases.</li><li>Database Testing: MSSQL, MYSQL, ORACLE</li><li>Analytical skills to conduct RCA (root cause analysis)</li><li>Integrating automated tests within CI/CD pipelines (Jenkins, GitLab Azure DevOps)</li><li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li><li>Integration of Tosca to Mobile Device Farm (such as Perfecto, BrowserStack, Sauce Labs) and able to execute automated testcases in Mobile Devices (Physical device or Emulator/Simulator)</li><li>Mobile App Testing Tools: Appium, Espresso, XCUITest, Deto</li></ul>
Preferred Certifications:<ul><li>Tosca Automation Suite (AS1 and AS2) and Test Design Specialist (TDS1 &amp; TDS2)</li><li>Automation Engineer (AE)</li><li>Xray Certified Practitioner (JIRA Xray Test Case Management)</li></ul></div>

Senior QA Engineer / Lead Specialist (Tosca)

Global Software Solutions Group

<div>
 The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client's applications and platforms including the SupTech program, Payments &amp; Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline.
 <br/>
 <br/>
 This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries. The Senior Test Automation Engineer will drive continuous improvement in test automation practices &amp; tooling to meet Client's quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, &amp; compliance with industry standards and internal policies
 <br/>
 <br/>
 Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox
 <br/>
 <br/>
 The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <strong>
  Core Responsibilities
  <br/>
  <br/>
 </strong>
 Enhance and implement a robust, scalable, and maintainable test automation solutions for Client's applications stack. The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs. It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment.
 <br/>
 <br/>
 <ul>
  <li>
   Test Automation Strategy, Design and Implementation
  </li>
  <li>
   Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments &amp; Reporting, and other critical systems)
  </li>
  <li>
   Analyze business, functional, and technical requirements to design effective automated test scenarios and suites
  </li>
  <li>
   Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression)
  </li>
  <li>
   Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices
  </li>
  <li>
   Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle
  </li>
  <li>
   Test Development, Execution and maintenance
  </li>
  <li>
   Develop, review, and optimize automated test scripts using approved tools and languages
  </li>
  <li>
   Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting
  </li>
  <li>
   Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions
  </li>
  <li>
   Ensure timely execution of automated suites in line with release schedules and quality KPIs
  </li>
  <li>
   Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators
  </li>
  <li>
   Quality Engineering, Standards and Governance
  </li>
  <li>
   Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e.g., Test-Driven, Behaviour-Driven, shift-left testing)
  </li>
  <li>
   Contribute to maintain test data &amp; environment management, test configuration standard
  </li>
  <li>
   Support the establishment and tracking of quality metrics (e.g., test coverage, defect leakage, automation coverage, and execution duration)
  </li>
  <li>
   Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards
  </li>
  <li>
   Collaboration, Stakeholder Engagement and Support
  </li>
  <li>
   Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle
  </li>
  <li>
   Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges
  </li>
  <li>
   Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives
  </li>
  <li>
   Tooling, Innovation and continuous improvement
  </li>
  <li>
   Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client's technology stack
  </li>
  <li>
   Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant
  </li>
  <li>
   Continuously optimize test suites (e.g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed
  </li>
  <li>
   Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams
  </li>
  <li>
   Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests
  </li>
  <li>
   Documentation and Knowledge management
  </li>
  <li>
   Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes
  </li>
  <li>
   Document and share lessons learned, best practices, and guidelines for effective automation of quality
  </li>
  <li>
   Perform any other duties outside the scope as and when required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Self-Management Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional Development: Identify and pursue training opportunities to enhance skills and competencies
  </li>
  <li>
   Competency Mastery: Strive for excellence across all required competencies for the role
  </li>
  <li>
   Industry Awareness: Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Threshold Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's or Master's degree in Software Engineering (IT)
  </li>
  <li>
   Professional certifications in Software Testing Automation
  </li>
  <li>
   Extensive expertise in Tricentis TOSCA automation tool, NEOLOAD performance testing tool
  </li>
  <li>
   ISTQB, Cypress/Appium certifications, Agile/Scrum, DevSecOps, CI/CD would be an advantage
  </li>
  <li>
   Certifications in mobile testing tools (Appium, XCUITest, Espresso, Detox)
  </li>
  <li>
   Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 6+ years of hands-on experience in software testing with a strong focus on test automation across UI, API, and integration layers
  </li>
  <li>
   Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
 </strong>
 Tosca Automation Specialist:
 <br/>
 <br/>
 <ul>
  <li>
   Tosca Installation Setup, Server management, Tosca Commander workspace navigation, Scanning modules
  </li>
  <li>
   Test Data Service (TDS) for data creation, Test case design (TCD), Test data management (TDM), Setting up Distributed Execution (DEX) agents
  </li>
  <li>
   Parameterization, Synchronization, Simulation, Integration testing
  </li>
  <li>
   Proficiency in Selenium, JMeter/LoadRunner, REST/SOAP, Postman, Appium, Espresso, XCUITest, Detox
  </li>
  <li>
   Scripting language for test automation (Java, JavaScript, Python)
  </li>
  <li>
   CI/CD/CT Pipeline Experience: Integrating automated tests within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous testing workflows. Experience with CI/CD/CT orchestration and pipeline management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Advanced module design patterns, recovery scenarios, utilizing libraries to maintain stable automated suites
  </li>
  <li>
   Skills to automate API/Microservices testing (REST/SOAP, Postman, Swagger)
  </li>
  <li>
   Data-driven tests to maximize coverage with minimal test cases
  </li>
  <li>
   Database Testing: MSSQL, MYSQL, ORACLE
  </li>
  <li>
   Analytical skills to conduct RCA (root cause analysis)
  </li>
  <li>
   Integrating automated tests within CI/CD pipelines (Jenkins, GitLab Azure DevOps)
  </li>
  <li>
   Familiarity with containerization and orchestration (Docker, Kubernetes)
  </li>
  <li>
   Integration of Tosca to Mobile Device Farm (such as Perfecto, BrowserStack, Sauce Labs) and able to execute automated testcases in Mobile Devices (Physical device or Emulator/Simulator)
  </li>
  <li>
   Mobile App Testing Tools: Appium, Espresso, XCUITest, Deto
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Certifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Tosca Automation Suite (AS1 and AS2) and Test Design Specialist (TDS1 &amp; TDS2)
  </li>
  <li>
   Automation Engineer (AE)
  </li>
  <li>
   Xray Certified Practitioner (JIRA Xray Test Case Management)
  </li>
 </ul>
</div>


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