Proxify AB: Senior Data Engineer (Python)

The useful part

We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

How it works

• What we're looking for: 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).
• Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.
• Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.
• Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).
• Experience with Git, Docker, and implementing CI/CD for data pipelines.

What to take from it

Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses. Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.

Example or evidence

• Experience building Real-time Pipelines using Kafka or Flink.

Details worth keeping

Sweden URL: http://career.proxify.io The Role: Hands-on experience with Snowflake, BigQuery, or AWS Redshift. Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.