Senior Data Engineer (Python)

Headquarters: Sweden

URL: http://career.proxify.io

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:

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5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask).

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Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses.

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Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing.

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Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs.

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Hands-on experience with Snowflake, BigQuery, or AWS Redshift.

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Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0.

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Experience with Git, Docker, and implementing CI/CD for data pipelines.

Nice-to-Have:

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Experience building Real-time Pipelines using Kafka or Flink.

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Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo).

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Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications.

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Infrastructure as Code (Terraform) experience.

Responsibilities:

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Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization.

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Implement rigorous automated testing and monitoring to ensure data integrity and reliability.

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Optimize warehouse storage and compute costs while reducing pipeline latency.

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Partner with Data Scientists and Product Managers to translate business requirements into technical data models.

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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

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Hand-picked opportunities just for you

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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.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python-1