Senior Data Engineer (Databricks)

135 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·PoznańFull-time·B2B

#480332·Dodano 2 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Databricks PySpark SQL Azure Data LakeAzure Data FactoryETL ELT AgilePower BIPython

Podsumowanie oferty

Join the client’s Risk Technology team to design, develop and support enterprise data solutions. Build scalable data platforms and analytics capabilities using Databricks, PySpark and SQL.

Wymagania

Strong experience with Databricks and PySpark.
Advanced SQL and data warehousing expertise.
Experience with Azure Data Lake, Azure Data Factory or similar cloud data technologies.
Knowledge of data modelling, ETL/ELT and performance optimisation.
Experience working in Agile delivery teams.
Advanced Polish and English.

Nice to have:

Experience within Financial Services, Risk, Regulatory or ESG technology environments.
Exposure to Power BI, Python, DevOps and cloud-native architectures.

Obowiązki

Design and build data pipelines using Databricks, PySpark and SQL.
Develop and maintain data models, ETL processes and reporting datasets.
Optimise data quality, performance and scalability across the platform.
Collaborate with business users, analysts and developers to deliver data-driven solutions.
Support cloud-based data architecture, CI/CD and data governance initiatives.
Mentor junior engineers and promote engineering best practices.

Inne informacje

The role is 100% remote from Poland, with occasional visits to the office in Poznań or Wrocław.

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