Senior Data Engineer (Python)
Proxify AB
Senior Data Engineer (Python) at Proxify AB is a full time role based in Remote · Worldwide (remote). Listed skills: Python, Data Engineering and Data Warehousing. It was published on 14 August 2026 and was open at last check.
| Role | Senior Data Engineer (Python) |
|---|---|
| Company | Proxify AB |
| Location | Remote · Worldwide (remote) |
| Employment type | Full Time |
| Skills listed | Python, Data Engineering and Data Warehousing |
| Published | 14 August 2026 |
| Status | Open at last check |
Headquarters: Sweden
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.
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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
Create your free OnJob profile to apply — we'll take you to Proxify AB's application after sign-up. · Posted 14 Aug 2026.
Senior Data Engineer (Python) at Proxify AB — questions answered
What does the Senior Data Engineer (Python) role at Proxify AB pay?
Proxify AB does not publish a salary on this Senior Data Engineer (Python) listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Is the Senior Data Engineer (Python) role at Proxify AB remote?
Yes — Proxify AB advertises this Senior Data Engineer (Python) role as remote, tied to Remote · Worldwide, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Proxify AB before you apply.
What skills does the Senior Data Engineer (Python) role at Proxify AB require?
The Senior Data Engineer (Python) at Proxify AB listing names Python, Data Engineering and Data Warehousing. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Senior Data Engineer (Python) role at Proxify AB still open?
The Senior Data Engineer (Python) posting at Proxify AB was open at OnJob's last check of the employer's careers page, having been published on 14 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Senior Data Engineer (Python) role at Proxify AB?
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