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Senior Data Engineer
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📊 Data Engineering: salaries and demand on the marketDetails
- Practices
- CI/CD
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Work model: hybrid - 2 days from the office in Gdansk. Contract: B2B. Start: 01.12.2026. Project length: > 12 months + possible extensions Project language: English. Recruitment process: 2 interviews with the client. Workload: fulltime (40 hours per week). Summary:
The role
of Data Engineer focuses on replacing a consultant at the end of the year, with a senior profile who possesses skills in data and analytics, and who can communicate effectively with stakeholders. Main
Responsibilities
* Deliver data analysis and data transformation using cloud platforms. * Develop and maintain ETL processes. * Create and optimize data pipelines for AI/ML applications. * Peer communication with stakeholders on data-related topics. Key
Requirements
* Solid experience with Microsoft Azure (e.g., Data Factory, Data Lake). * Strong proficiency in Python/PySpark and SQL. * Proven experience with ETL processes and data transformation.
Nice to Have: * Experience with CI/CD, Terraform, and Unity Catalog. * Knowledge of working with structured and unstructured data sets. * Understanding of data pipelines that support AI/ML use cases.
Other Details: * Location: Gdansk, Poland (at least 2 days/week). * Timeframe: Ideal start 1/12, but flexible. * Communicative skills: Strong English skills.
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