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Senior Data Engineer (Python) at Proxify. Location Information: Time zone: CET (+/- 3 hours). About us:. .  . . Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂. . Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.. . Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.. .  . . The Role:. .  . . 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.. .  . . What we’re looking for:. .  . . . . 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.. . . .  . . Nice-to-Have:. .  . . . . Experience building Real-time Pipelines using Kafka or Flink.. . . . Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).. . . . Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.. . . . Infrastructure as Code (Terraform) experience.. . . .  . . 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.. . . .  . . What we offer:. .  . . Get paid, not played. . No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.. .  . . Predictable project hours. . Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.. .  . . Flex days, so you can recharge. . Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.. .  . . Career-accelerating positions at cutting-edge companies. . Discover exclusive long-term remote positions at the world's most exciting companies. . .. . Hand-picked opportunities, just for you. . Skip the typical recruitment roadblocks and biases with personally matched positions.. .  . . One seamless process, multiple opportunities. . A one-time contracting process for endless opportunities, with no extra assessments.. .  . . Compensation. . Enjoy the same pay, every month with positions landed through Proxify.