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Why this grade This listing scored 43/100, which is a D. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-20 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Python Data Engineering and Data Warehousing
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 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.
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python-1
Apply for this role Opens weworkremotely.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 13 Jul 2026 We Work Remotely first sighting
Seen on 1 board over 35 days.