Senior Database Engineer
Role Overview
Senior hands-on engineering role responsible for modern Microsoft data platforms across Azure and Microsoft Fabric.
Owns cloud data engineering, warehouse and lakehouse architecture, data integration, semantic consumption, and AI-ready data products.
Key Skills for This Role
Full Job Posting
Role overview
Senior hands-on engineering role responsible for modern Microsoft data platforms across Azure and Microsoft Fabric.
Owns cloud data engineering, warehouse and lakehouse architecture, data integration, semantic consumption, and AI-ready data products.
Responsibilities
- Design and support enterprise Azure and Microsoft Fabric data solutions.
- Create Fabric Lakehouse, Fabric Warehouse, and hybrid warehouse architectures with layered data structures.
- Build ETL/ELT pipelines using SQL, Python, PySpark, notebooks, APIs, files, and orchestration patterns.
- Design RAG workflows with chunking, embeddings, retrieval, grounding, prompts, citations, and evaluation.
- Implement responsible AI, security, privacy, observability, data quality, lineage, and governance controls.
- Use Git, CI/CD, automated testing, environment promotion, and Infrastructure as Code.
- Optimize performance, scalability, reliability, and cost across data platforms.
- Partner with technical and business stakeholders and provide reviews, documentation, templates, and mentoring.
Required qualifications
- At least seven years of professional data engineering, database engineering, data warehousing, or closely related experience.
- Hands-on production experience with Azure data services and Microsoft Fabric or equivalent technologies.
- Advanced SQL and knowledge of relational design, dimensional modeling, data warehousing, data marts, and performance engineering.
- Experience operating ETL/ELT pipelines with SQL, Python or PySpark, notebooks, APIs, files, orchestration, and incremental processing.
- Implemented experience with a Copilot, chatbot, agent, RAG, intelligent search, or LLM-enabled data solution.
- Experience with prompt engineering, grounding, embeddings, retrieval, model evaluation, responsible AI, security, and observability.
- Experience with Git, pull requests, automated testing, CI/CD, and repeatable deployment practices.
- Understanding of identity, cloud security, data governance, privacy, data quality, lineage, and operational support.
- Clear communication, mentoring ability, sound judgment, attention to detail, and disciplined follow-through.
Contract type
- The position is permanent.
Equal opportunity
Havas states that it offers equal opportunities and does not tolerate discrimination.
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