Senior Data Engineer (Python)

Headquarters: Sweden

URL: http://career.proxify.io (link removed)

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.



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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 (link removed)