Senior Azure Data Engineer – Databricks & Terraform
Contract (B2B) Senior Azure Data Engineer role in Gdańsk (hybrid, 50% onsite) through emagine for a Food & FMCG enterprise Data Foundation project until end of 2026. Day to day: building Azure Databricks pipelines with Python/PySpark and SQL, provisioning Azure infra with Terraform, using Azure Data Factory and Azure DevOps CI/CD.
- Compensation
- PLN 160–PLN 190 / hr
- Location
- Gdansk, Poland
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Part time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Several years of experience developing and maintaining enterprise-scale data platforms
- Strong hands-on experience with Azure Databricks
- Solid expertise in Microsoft Azure services
- Practical experience with Terraform
- Strong programming skills in Python / PySpark
- Very good knowledge of SQL
- Experience with Azure Data Factory (ADF)
- Familiarity with Azure DevOps and CI/CD
- Experience collaborating with architects and cross-functional engineering teams
- Very good English, used daily in an international environment
Nice to have
- Experience with GitHub
- Broader knowledge of Infrastructure as Code (IaC)
- Experience with code reviews, technical coaching and knowledge sharing
- Familiarity with automated testing, observability and platform reliability practices
Full description
Senior Azure Data Engineer – Databricks & TerraformIndustry: Food & FMCG / Enterprise Data Platforms
Location: Gdańsk, Poland
Work Model: Hybrid – 50% onsite in Gdańsk
Contract Type: B2B
Rate: 160–190 PLN/h net + VAT
Workload: Full-time preferred; part-time cooperation may also be considered
Start Date: ASAP
Contract Duration: Until the end of December 2026, with the possibility of extension in early 2027
Language: English – advanced / full professional proficiency (daily communication in English)
About the Role
We are looking for an experienced Senior Azure Data Engineer to join an enterprise-scale Data Foundation initiative within the Food & FMCG industry.
You will develop and enhance a cloud-based data platform using Azure Databricks, Python/PySpark, SQL and Terraform, working closely with Product Architects and engineering teams.
Key Responsibilities
- Design, develop and maintain enterprise-scale Azure Databricks data pipelines.
- Develop data processing solutions using Python, PySpark and SQL.
- Provision and manage Azure infrastructure using Terraform.
- Build and maintain data integration and orchestration workflows using Azure Data Factory.
- Collaborate with architects and developers to improve platform architecture, scalability and maintainability.
- Contribute to technical implementation of complex features, services and APIs.
- Improve CI/CD pipelines using Azure DevOps, strengthening automation and deployment reliability.
- Perform code reviews, provide technical guidance and share engineering best practices.
- Reduce technical debt and improve testing, observability, performance and platform resilience.
Required Skills & Experience
- Several years of experience developing and maintaining enterprise-scale data platforms.
- Strong hands-on experience with Azure Databricks.
- Solid expertise in Microsoft Azure services.
- Practical experience with Terraform.
- Strong programming skills in .