Senior Data Engineer (Python)

<p> <strong>Headquarters:</strong> Sweden <br /><strong>URL:</strong> <a href="http://career.proxify.io">http://career.proxify.io</a> </p> <div> <h4><strong>The Role:</strong></h4> <p> </p> <p>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.</p> <p> </p> <h4><strong>What we’re looking for:</strong></h4> <p> </p> <ul> <li> <p>5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).</p> </li> <li> <p>Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.</p> </li> <li> <p>Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.</p> </li> <li> <p>Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.</p> </li> <li> <p>Hands-on experience with Snowflake, BigQuery, or AWS Redshift.</p> </li> <li> <p>Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.</p> </li> <li> <p>Experience with Git, Docker, and implementing CI/CD for data pipelines.</p> </li> </ul> <p> </p> <h4><strong>Nice-to-Have:</strong></h4> <p> </p> <ul> <li> <p>Experience building Real-time Pipelines using Kafka or Flink.</p> </li> <li> <p>Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).</p> </li> <li> <p>Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.</p> </li> <li> <p>Infrastructure as Code (Terraform) experience.</p> </li> </ul> <p> </p> <h4><strong>Responsibilities:</strong></h4> <p> </p> <ul> <li> <p>Bu