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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Data Engineer - Lakehouse and AI Data Platform - VP - Warsaw

Requirements

  • Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
  • Strong hands-on programming experience in Python or Java.
  • Good working knowledge of SQL, including troubleshooting, optimization, and data analysis.
  • Ability to learn new tools, internal platforms and delivery workflows quickly.
  • Familiarity with software engineering fundamentals, including version control, testing, release discipline, and CI/CD practices.

What You'll Be Doing

  • Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI data platform.
  • Develop raw, refined, and curated datasets that support analytics, reporting, and AI use cases.
  • Implement controls to validate completeness, accuracy, and consistency of data across pipelines and datasets.
  • Work closely with engineers, platform teams, and data consumers to deliver agreed outcomes to time and quality expectations.

Nice to Haves

  • Experience guiding implementation standards, code quality, and engineering practices within a team.
  • Experience working with distributed data processing frameworks such as Apache Spark.
  • Working knowledge of common data formats such as JSON, Avro, and Parquet.

Perks and Benefits

  • Committed to fostering and advancing diversity and inclusion in the workplace.
  • Training and development opportunities.
  • Wellness and personal finance offerings.
  • Mindfulness programs.
AI Summary ✨
Goldman Sachs logo

Goldman Sachs

Warsaw, Poland

Experience: Senior
Posted: April 16, 2026
Last seen: an hour ago
Java
Kubernetes
Python
dataengineering

Why we track Goldman Sachs

Goldman Sachs has large engineering teams in London and other EU cities. They've been investing heavily in technology, and the engineering work goes well beyond traditional finance—platform engineering, cloud infrastructure, developer tools. The pay is competitive with FAANG.

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