Senior Data Engineer

Soda Logo

Soda

πŸ“Remote - Worldwide

Summary

Join Soda, a well-funded European Open Source startup, as a Senior Data Engineer (Python) to enhance and expand our Open Source and Cloud Products. You will collaborate with senior product personnel and an experienced engineering team, owning the implementation of major features in Soda Core and Soda Cloud. You'll contribute your expertise to the team and have the opportunity for growth into a leadership role. We offer a fully remote work environment, competitive compensation (up to 110,000 EUR/year + equity), and the chance to shape the future of Data Quality software. We value freedom with responsibility, transparency, and a growth mindset. This is a unique opportunity to work on impactful projects within a fast-paced, international environment.

Requirements

  • Experience building data/ML products or cloud-based software
  • Deep knowledge of software engineering best practices like SOLID and design patterns
  • Strong experience with Python Data Stack and SQL skills
  • Deep understanding of data warehouses, data lakes, pipeline testing, data mesh, and related data engineering concepts
  • Exceptional communication skills in English - both oral and written
  • You are a swift learner and can easily pick up new concepts
  • You are incredibly proactive, independent, and comfortable in proposing new ideas. This also means holding your ground when you believe you are right
  • You're based in Europe and can work in Europe
  • Strong interest in Data Quality, Data Observability, and ML

Responsibilities

  • Shape the product direction by collaborating with users, customers, and the team to implement new Soda Cloud and Soda Core features that solve real-world data engineering problems
  • Work on scaling Soda Cloud for a billion datasets
  • Directly contribute to our open-source library by designing, implementing, and maintaining new Observability and Data Testing features
  • Implement internal tooling to facilitate product development

Preferred Qualifications

  • Prior work on a Data Quality solution or a product for Data Engineers
  • Familiarity with common data warehousing solutions
  • Basic Python Data Science stack knowledge, including Scikit Learn
  • Experience with GitOps
  • STEM degree from a top university

Benefits

  • The opportunity to be a part of the exciting early stages of a well-funded, European-based Open Source start-up with significant traction and massive venture potential
  • Fully Remote Working Environment with an option to work from an office
  • Compensation: up to 110 000 EUR/year + equity

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