Senior Data Engineer (Python)

We are seeking a Senior Data Engineer to develop and scale data infrastructure for a high-growth client product. The role requires expertise in Python, data pipelines, and modern data stack practices, with a focus on growth and innovation.

Location: Sweden

Responsibilities

• Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization.
• Implement rigorous automated testing and monitoring to ensure data integrity and reliability.
• Optimize warehouse storage and compute costs while reducing pipeline latency.
• Partner with Data Scientists and Product Managers to translate business requirements into technical data models.
• Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices.

Requirements

• 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).
• Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.
• Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.
• Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.
• Hands-on experience with Snowflake, BigQuery, or AWS Redshift.
• Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.
• Experience with Git, Docker, and implementing CI/CD for data pipelines.

Benefits

• Enjoy on-time monthly payments with flexible withdrawal options.
• Harmonious work-life balance with consistent 8-hour working days.
• Up to 24 flex days off per year without losing pay.
• Exclusive long-term remote positions at top companies.
• Personalized job matching with no extra assessments.
• Seamless contracting process for multiple opportunities.
• Consistent monthly pay for positions through Proxify.