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>&nbsp;</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.&nbsp;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>&nbsp;</p> <h4><strong>What we’re looking for:</strong></h4> <p>&nbsp;</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>&nbsp;</p> <h4><strong>Nice-to-Have:</strong></h4> <p>&nbsp;</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>&nbsp;</p> <h4><strong>Responsibilities:</strong></h4> <p>&nbsp;</p> <ul> <li> <p>Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization.</p> </li> <li> <p>Implement rigorous automated testing and monitoring to ensure data integrity and reliability.</p> </li> <li> <p>&nbsp;Optimize warehouse storage and compute costs while reducing pipeline latency.</p> </li> <li> <p>Partner with Data Scientists and Product Managers to translate business requirements into technical data models.</p> </li> <li> <p>Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices.</p> </li> </ul> </div> <h4>&nbsp;</h4> <h4><strong>What we offer:<br></strong></h4> <div><strong>Get paid, not played</strong></div> <div>No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.<br><br></div> <div><strong><br>Predictable project hours</strong></div> <div>Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.<br><br></div> <div><br><strong>Flex days, so you can recharge</strong></div> <div>Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.<br><br></div> <div><br><strong>Career-accelerating positions at cutting-edge companies</strong></div> <div>Discover exclusive long-term remote positions at the world's most exciting companies.<br><br></div> <div><br><strong>Hand-picked opportunities just for you</strong></div> <div>Skip the typical recruitment roadblocks and biases with personally matched positions.<br><br></div> <div><br><strong>One seamless process, multiple opportunities</strong></div> <div>A one-time contracting process for endless opportunities, with no extra assessments.<br><br></div> <div><br><strong>Compensation</strong></div> <div>Enjoy the same pay, every month with positions landed through Proxify.</div> <p><strong>To apply:</strong> <a href="https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python">https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python</a></p>