python engineer

Klanik

<div>
 <p>
  🚀
  <strong>
   Hiring: AI Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 </p>
 <p>
  &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 </p>
 <p>
  &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 </p>
 <p>
  &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 </p>
 <p>
  &bull; AI workflow orchestration &amp; event-driven architectures
 </p>
 <p>
  &bull; AI/ML model deployment &amp; inference optimization
 </p>
 <p>
  &bull; REST APIs, microservices &amp; distributed systems
 </p>
 <p>
  &bull; Integration of AI services with enterprise applications and data platforms
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Languages
   </u>
   :
  </strong>
 </p>
 <p>
  &middot; English
 </p>
 <p>
  . Excellent communication, verbal and written skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About KLANIK:
   </u>
  </strong>
 </p>
 <p>
  Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 </p>
 <p>
  <br/>
 </p>
 <p>
  ➜ Information Technology and Systems (IT &amp; IS)
 </p>
 <p>
  ➜ DevOps and Cloud
 </p>
 <p>
  ➜ Big Data and AI
 </p>
 <p>
  ➜ Cybersecurity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 </p>
 <p>
  Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 </p>
 <p>
  We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Being a &ldquo;KLANIK&rdquo;
   </u>
  </strong>
 </p>
 <p>
  That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 </p>
 <p>
  You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Our culture is our pride
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 </p>
 <p>
  Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 </p>
 <p>
  Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 </p>
</div>


AI Engineer

Discovered MENA

<div>
 <p>
  <strong>
   AI Software Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <strong>
   Package:
  </strong>
  30,000 - 35,000 AED per month TAX FREE plus benefits
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  Permanent
 </p>
 <p>
  <br/>
 </p>
 <p>
  I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently seeking a highly skilled and enthusiastic AI Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Conduct in-depth research, design, and development of advanced cellular communications solutions
 </p>
 <p>
  Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
 </p>
 <p>
  Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
 </p>
 <p>
  Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
 </p>
 <p>
  Contribute to crucial technological and architectural decisions.
 </p>
 <p>
  Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <p>
  Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
 </p>
 <p>
  Experience building high-performance APIs, ideally using modern Python frameworks.
 </p>
 <p>
  Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
 </p>
 <p>
  Practical understanding of prompt design and AI-driven workflow optimisation.
 </p>
 <p>
  Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
 </p>
 <p>
  Proficient in data handling and validation using Python data frameworks and schema-based approaches.
 </p>
 <p>
  Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
 </p>
 <p>
  Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
 </p>
 <p>
  Experience writing automated tests and maintaining high code quality with Python testing frameworks.
 </p>
 <p>
  Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
 </p>
 <p>
  Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
 </p>
 <p>
  Strong command of the English language, both spoken and written (upper-intermediate level).
 </p>
</div>


AI Software Engineer

Atain

<div>
 <p>
  <strong>
   Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
  </strong>
  to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
  <strong>
   Revenue Management domain
  </strong>
  is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI solutions using
   <strong>
    Azure Databricks
   </strong>
   , Python, and modern AI frameworks.
  </li>
  <li>
   Build and orchestrate
   <strong>
    Agentic AI
   </strong>
   applications using multi-agent architectures and autonomous workflows.
  </li>
  <li>
   Develop, integrate, and manage
   <strong>
    Model Context Protocol (MCP) Servers
   </strong>
   for secure tool and data access.
  </li>
  <li>
   Design and implement
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines for enterprise AI applications.
  </li>
  <li>
   Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
  </li>
  <li>
   Build scalable data pipelines using
   <strong>
    PySpark
   </strong>
   , SQL, and Delta Lake on Azure Databricks.
  </li>
  <li>
   Integrate AI applications with enterprise systems, APIs, and cloud services.
  </li>
  <li>
   Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
  </li>
  <li>
   Monitor AI model performance, ensure governance, security, and responsible AI practices.
  </li>
  <li>
   Stay updated with emerging AI technologies and recommend innovative solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   ,
   <strong>
    PySpark
   </strong>
   , Python, and SQL.
  </li>
  <li>
   Strong experience building
   <strong>
    Agentic AI
   </strong>
   solutions and multi-agent orchestration.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    MCP Servers
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    Large Language Models (LLMs)
   </strong>
   , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
  </li>
  <li>
   Experience with
   <strong>
    Azure AI Services
   </strong>
   , Azure OpenAI, or similar cloud AI platforms.
  </li>
  <li>
   Knowledge of REST APIs, microservices, and cloud-native architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in Agile environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


Artificial Intelligence Engineer

Saal.ai

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Specific Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
  </li>
  <li>
   Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
  </li>
  <li>
   Collaborate with software developers to streamline build, deployment, and release processes.
  </li>
  <li>
   Handling deployments at customer premises.
  </li>
  <li>
   Monitor and optimize system performance, ensuring high availability and scalability.
  </li>
  <li>
   Implement and maintain configuration management tools and practices, ensuring consistency across environments.
  </li>
  <li>
   Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
  </li>
  <li>
   Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
  </li>
  <li>
   Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
  </li>
  <li>
   Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience working as a DevOps Engineer or in a similar role.
  </li>
  <li>
   Strong knowledge of software development methodologies and best practices.
  </li>
  <li>
   Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  </li>
  <li>
   Proficiency in any of the scripting languages such as Python, Bash etc.
  </li>
  <li>
   Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  </li>
  <li>
   Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
  </li>
  <li>
   Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently as well as in a team environment.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <ul>
  <li>
   Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
  </li>
  <li>
   Experience with infrastructure-as-code tools like Terraform or CloudFormation.
  </li>
  <li>
   Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
  </li>
  <li>
   Understanding of Agile and DevOps methodologies.
  </li>
  <li>
   Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


DevOps Engineer

Salt

<div>
 <p>
  🤖
  <strong>
   Site Reliability Engineer (SRE) &ndash; AI Platforms
  </strong>
 </p>
 <p>
  <strong>
   📍 Abu Dhabi
  </strong>
 </p>
 <p>
  <strong>
   ⏳ 6-month initial contract - with extensions
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Help Build AI Platforms That Never Sleep
  </strong>
 </p>
 <p>
  We're partnering with one of the UAE's leading financial institutions to hire
  <strong>
   2 Site Reliability Engineers (SREs)
  </strong>
  to support the delivery of a next-generation
  <strong>
   Agentic AI platform
  </strong>
  powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
  <strong>
   Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
  </strong>
  , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a
  <strong>
   Site Reliability Engineer
  </strong>
  , you'll take ownership of
  <strong>
   Production Readiness
  </strong>
  across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <p>
  Site Reliability Engineering
 </p>
 <ul>
  <li>
   Design and implement resilient, highly available cloud platforms.
  </li>
  <li>
   Build automated recovery and self-healing capabilities.
  </li>
  <li>
   Conduct chaos engineering exercises to validate system resilience.
  </li>
  <li>
   Perform load and stress testing to ensure applications can support banking-scale workloads.
  </li>
 </ul>
 <p>
  Automated Testing &amp; Quality Engineering
 </p>
 <ul>
  <li>
   Develop automated regression testing frameworks using Python.
  </li>
  <li>
   Integrate automated testing into CI/CD pipelines.
  </li>
  <li>
   Validate both application functionality and infrastructure deployments.
  </li>
  <li>
   Ensure every release meets enterprise quality standards before production.
  </li>
 </ul>
 <p>
  AI Quality &amp; Validation
 </p>
 <ul>
  <li>
   Build automated frameworks to evaluate AI model responses.
  </li>
  <li>
   Validate prompt behaviour and AI-generated outputs.
  </li>
  <li>
   Measure AI performance using established evaluation techniques and custom benchmarks.
  </li>
  <li>
   Help improve the reliability and consistency of enterprise AI services.
  </li>
 </ul>
 <p>
  Observability &amp; Monitoring
 </p>
 <ul>
  <li>
   Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
  </li>
  <li>
   Develop dashboards and proactive monitoring solutions.
  </li>
  <li>
   Configure intelligent alerting to identify issues before they impact customers.
  </li>
  <li>
   Analyse platform health, reliability and performance trends.
  </li>
 </ul>
 <p>
  Security &amp; Compliance
 </p>
 <ul>
  <li>
   Automate security testing and compliance validation.
  </li>
  <li>
   Ensure AI services comply with banking security, privacy and data residency requirements.
  </li>
  <li>
   Support continuous platform governance and operational excellence.
  </li>
 </ul>
 <p>
  Cloud Optimisation
 </p>
 <ul>
  <li>
   Identify inefficient infrastructure and unnecessary cloud spend.
  </li>
  <li>
   Improve platform performance while optimising operational costs.
  </li>
  <li>
   Support FinOps initiatives across AI workloads.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  Essential Skills &amp; Experience
 </p>
 <ul>
  <li>
   Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
  </li>
  <li>
   Expert Python development skills
  </li>
  <li>
   Experience with automation frameworks including
   <strong>
    PyTest, Selenium or Robot Framework
   </strong>
  </li>
  <li>
   Hands-on experience with Azure and/or AWS cloud platforms
  </li>
  <li>
   Experience building automated CI/CD testing pipelines
  </li>
  <li>
   Strong understanding of cloud networking, scalability and reliability
  </li>
  <li>
   Experience with infrastructure validation and Infrastructure-as-Code concepts
  </li>
  <li>
   Knowledge of monitoring and observability tools including:
  </li>
  <li>
   Azure Monitor
  </li>
  <li>
   AWS CloudWatch
  </li>
  <li>
   Grafana
  </li>
  <li>
   Prometheus
  </li>
  <li>
   Experience with performance testing tools such as
   <strong>
    K6 or JMeter
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Experience
  </strong>
 </p>
 <p>
  We're looking for engineers who have worked on
  <strong>
   AI, Generative AI, Conversational AI or Agentic AI
  </strong>
  projects and understand how to evaluate AI system performance.
 </p>
 <p>
  Experience with any of the following would be highly beneficial:
 </p>
 <ul>
  <li>
   Prompt Engineering
  </li>
  <li>
   LLM evaluation
  </li>
  <li>
   Retrieval-Augmented Generation (RAG)
  </li>
  <li>
   AI benchmarking
  </li>
  <li>
   ROUGE/BLEU scoring
  </li>
  <li>
   AI quality evaluation frameworks such as
   <strong>
    DeepEval, Ragas or LangSmith
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Bash scripting
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   Terraform (validation and governance)
  </li>
  <li>
   Serverless cloud architectures
  </li>
  <li>
   FinOps or cloud cost optimisation
  </li>
  <li>
   Experience working within highly regulated industries such as banking or financial services
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <p>
  This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 </p>
</div>


Site Reliability 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

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

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