Senior Data Engineer (Azure, Databricks, dbt)
New
Wrocław, Fabryczna 6, Wrocław, Country code: PLFull-TimeSenior
Salary170 - 190 PLN per hour
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Job Details
- Languages
- En B2
- Experience
- 4+ years of experience as Data Engineer
- Required Skills
- SQLMLFlowAzureSparkdbtDatabricksAzure DevOps
Requirements
- 4+ years of experience as Data Engineer.
- Strong expertise in Databricks Lakehouse, including Delta Lake, Apache Spark, and MLflow.
- Hands-on experience with Azure services in modern data platforms.
- Practical knowledge of Azure DevOps, Git-based workflows, and CI/CD processes.
- Experience with ETL/ELT tools such as Azure Data Factory, Databricks, dbt Cloud, or Snowflake.
- Experience with Data Lakes or Lakehouse architectures.
- Strong SQL skills and solid grounding in information and dimensional modelling.
- Experience with data governance management and working in regulated environments.
- Background in hybrid data environments and on-premises integrations.
- Ability to communicate clearly with both technical and business stakeholders.
- Excellent English communication skills (B2 level).
Responsibilities
- Develop and operate scalable, robust analytical models and modern data pipelines.
- Design and build data platforms, data models, and ETL/ELT workflows.
- Innovate with customers to identify new opportunities and drive data-driven value.
- Champion best practices in architecture, data quality, reliability, and performance.
- Leverage Microsoft Azure services for data processing, transformation, orchestration, and storage.
- Construct cloud solutions that enable customers to adopt a modern data-driven approach.
- Support migrations from on-premises to cloud and hybrid integrations.
- Act as a technical advisor and partner to business stakeholders.
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