Data Engineer (High-Scale Distributed Systems)
EER Poland • Capon Bridge, WV54d • Hybrid
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Data Engineer (High-Scale Distributed Systems) - Warsaw, hybrid - B2B/UoP
EER Poland•Capon Bridge, WV
•Hybrid
About The Position
This company is a fast-growing technology company building advanced AI-driven solutions powered by deep learning and large-scale data processing. The organization develops proprietary predictive models that enable real-time, data-driven decision-making across complex markets. We are looking for an experienced Data Engineer who wants to play a key role in designing and scaling robust data infrastructure in a production environment.
Requirements
- 4+ years of professional experience with Python and SQL.
- Proven experience building and maintaining data pipelines (ETL/ELT).
- Hands-on experience with orchestration tools such as Airflow, Dagster, or similar.
- Strong experience with distributed data processing frameworks (Spark, Dask, Beam).
- Experience with at least one major cloud platform (AWS, GCP, or Azure); BigQuery is a plus.
- Solid understanding of Docker/Kubernetes and CI/CD pipelines.
- Strong software engineering fundamentals (data structures, algorithms, testing, code quality).
- Experience with data testing and monitoring tools (pytest, Great Expectations, observability tools).
Nice To Haves
- Experience with dbt, ClickHouse, or Ray.
- Familiarity with Python data libraries (pandas, NumPy, Apache Arrow, Jinja).
- Background in functional programming.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming).
- Optimize distributed data processes for performance and efficiency.
- Ensure data quality, consistency, and reliability across workflows.
- Work with cloud-native architectures and modern data platforms.
- Implement and manage orchestration frameworks (e.g., Airflow, Dagster).
- Collaborate closely with data science, research, and business teams.
- Develop and maintain CI/CD processes and data testing frameworks.
- Monitor, troubleshoot, and continuously improve pipeline performance and stability.
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What This Job Offers
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Mid Level
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