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Why you can actually get this job
The posting explicitly states 'Anywhere in the World' as location/restrictions with no work authorization, language, timezone, or residency requirements. Employment is full-time direct with consistent 8-hour working days, compatible with UTC-5. No hard gates are triggered.
“Anywhere in the World”
Geographic scope — No location restrictions stated — worldwide.
“Stated location / restrictions: Anywhere in the World”
Geographic scope — Worldwide scope explicitly stated in source metadata.
“Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.”
Timezone — 8-hour working day model is compatible with UTC-5 without specified timezone overlap constraint.
“Exclusive long-term remote positions at the world's most exciting companies.”
Physical presence — Remote work explicitly affirmed; no physical presence or relocation requirement stated.
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
- 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.
- To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-python-1
