Senior Data Engineer (6-month contract)

gravity9 · posted Nov 2, 2026

Open to candidates in Poland

Contract · Senior

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What this job asks for

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Must have

  • •Design, build and operate ingestion and orchestration pipelines in Azure Data Factory
  • •Develop ETL/ELT in Azure Databricks using a medallion architecture
  • •Lead code reviews and set engineering standards
  • •Shape data architecture decisions
  • •Apply data governance, security and access controls
  • •Communicate progress, open items and issues to stakeholders

Nice to have

  • •Use AI-assisted development tools responsibly

Tools and technologies

Azure Data Factory, Azure Databricks, Microsoft Azure, AI

Worth checking before you apply

  • 6-month contract
Read the full posting

gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, and Poland. Our team has deep experience in engineering, experience design and product management. We enjoy a challenge and pride ourselves on working with our clients on their most complex problems, finding elegant and flexible solutions that help them transform their businesses. Role Description We are seeking a highly motivated Senior Data Engineer to join our client's Product Development team within their Digital Practice. In this role, you will play a key part in client digital transformation journeys by delivering solutions that support decision-making, autonomous execution, and integrated operations. You will focus on productizing deep subject-matter expertise through robust data platforms and AI-enabled solutions built on Microsoft Azure. Operating within a flat, connected organization that values innovation and an entrepreneurial mindset, you will challenge existing ideas to take business outcomes to higher levels. The ideal candidate is a confident, passionate, and outcome-oriented leader with exceptional communication skills who excels at setting direction, mentoring team members, and leading directly by doing. A successful candidate would:

  • Work in Agile teams to deliver the committed backlog against acceptance criteria
  • Design, build and operate ingestion and orchestration pipelines in Azure Data Factory
  • Develop ETL/ELT in Azure Databricks using a medallion architecture to deliver trusted data for analytics, reporting and AI
  • Lead code reviews and set engineering standards; take part in estimating, planning, testing, deployments and documentation
  • Shape data architecture decisions, including metric definitions, semantic models and data that serves AI agents
  • Apply data governance, security and access controls in line with client classification and residency requirements
  • Use AI-assisted development tools responsibly to accelerate delivery without compromising quality or security
  • Communicate progress, open items and issues to stakeholders, including management
  • Stay abreast of relevant technology developments

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