Senior Data Engineer - Databricks Lakehouse Migration

Sigma Software

Województwo mazowieckie

Hybrid

PLN 240,000 - 360,000

Full time

14 days+

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Job summary

Sigma Software is seeking a Senior Data Engineer to join its Data Engineering Center of Excellence in Warsaw/Województwo mazowieckie. You will lead migration from BigQuery to Databricks, design scalable Lakehouse architectures, and optimize large-scale data pipelines for a retail analytics platform.

Ideal candidates have 5+ years of data engineering, strong Python/SQL, Databricks, Spark, and Delta Lake experience, plus cloud expertise and CI/CD practices.

Qualifications

  • 5+ years of professional experience as a Data Engineer.
  • Strong programming skills in Python and advanced SQL.
  • Hands-on commercial experience with Databricks.
  • Strong knowledge of Apache Spark, primarily PySpark.
  • Experience designing and building modern cloud-based data platforms.
  • Experience developing ETL / ELT pipelines and large-scale data processing solutions.
  • Hands-on experience with Delta Lake.
  • Experience with Spark Declarative Pipelines.
  • Experience with cluster monitoring, metrics analysis, and performance optimization.
  • Strong understanding of distributed data processing architectures.
  • Solid understanding of data warehousing concepts and dimensional modeling.
  • Experience with Airflow or similar orchestration tools.
  • Experience optimizing complex analytical SQL workloads.
  • Experience implementing CI / CD practices for data engineering platforms.
  • Strong troubleshooting and performance optimization skills.
  • Ability to work collaboratively in cross-functional international teams.
  • Upper-Intermediate or higher English level.

Responsibilities

  • Participate in migration of large-scale analytical platform from BigQuery to Databricks.
  • Design and implement scalable Lakehouse architectures using Databricks and Delta Lake.
  • Analyze ETL/ELT workloads and define migration approaches.
  • Develop and optimize data pipelines for large retail datasets and analytics tasks.
  • Implement incremental processing strategies and scalable transformation frameworks.
  • Build and maintain Spark-based data processing solutions with PySpark.
  • Design and maintain medallion architecture layers (Bronze, Silver, Gold).
  • Implement data governance and security best practices using Unity Catalog.
  • Collaborate with Data Science, Analytics, Product, and Customer Engineering teams.
  • Participate in architecture discussions and technical solution design.
  • Develop reusable data platform components and engineering standards.
  • Conduct code reviews and contribute to platform reliability and maintainability.
  • Troubleshoot and optimize complex SQL and Spark workloads.
  • Support production deployments and platform modernization activities.

Skills

Python
SQL
Cross-functional collaboration
English proficient

Tools

Databricks
Apache Spark
PySpark
Delta Lake
Airflow
CI/CD

Job description

Sigma Software is seeking a Senior Data Engineer to join its Data Engineering Center of Excellence in Warsaw/Województwo mazowieckie. You will lead migration from BigQuery to Databricks, design scalable Lakehouse architectures, and optimize large-scale data pipelines for a retail analytics platform.

Ideal candidates have 5+ years of data engineering, strong Python/SQL, Databricks, Spark, and Delta Lake experience, plus cloud expertise and CI/CD practices.

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