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Senior Data Engineer

YOUR RESPONSIBILITIES

  • Develop and optimize ETL pipelines using SSIS and/or Azure Databricks
  • Write and tune advanced SQL queries for performance and scalability
  • Collaborate with cross-functional teams to understand business needs and translate them into data solutions
  • Support architecture design and infrastructure setup in Azure
  • Contribute to MLOps and GenAI initiatives (PoCs, deployment, scaling)

YOUR PROFILE

We are seeking a Senior Data Engineer with 5+ years of experience in designing, building, and optimizing data solutions across on-premises and cloud environments. The ideal candidate combines strong technical expertise with a proactive, collaborative mindset.

 

Must-Have Skills:

  • Advanced SQL and SQL optimization
  • ETL development with SSIS
  • Experience with Azure Databricks, Azure DevOps, and Azure Key Vault
  • English B2/C1 level
  • Strong analytical and problem-solving abilities

 

Preferred Skills:

  • Familiarity with Azure Data Factory, Power BI, and Informatica PowerCenter
  • Understanding of data architecture, data modeling, and security
  • Exposure to AI/ML frameworks (e.g., TensorFlow, Scikit-learn)
  • Knowledge of LLMs, RAG, and APIs
  • Basic .NET and Python (reading/writing code)

 

Soft Skills:

  • Strong communication and stakeholder management
  • Hands-on, self-driven, and solution-oriented
  • Comfortable working in dynamic, complex environments

What will you love about working here?

  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with work from home. Ask your recruiter about the details.
  • Learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
Ref. code:  330430
Posted on:  17 Sept 2025
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Wrocław, PL

Brand:  Capgemini
Professional Community:  Data & AI

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