Full-Time Senior Data Engineer

We are looking for a Senior Data Engineer (Python) to improve and expand our Open Source and Cloud Products. You will work with senior product people, including the CTO, and an experienced team of Data, Backend, Frontend, and full-stack engineers.

You will own the implementation of major features in Soda Core and Soda Cloud for our Data Observability and Data Testing offerings.

You will share your Data Engineering expertise with the rest of the engineering team.

As we grow, we expect you to grow with us. As our company scales, we envision a successful candidate to develop into an Engineering Lead or a similar position.

About Soda

Soda helps customers detect, resolve, and prevent data quality issues by combining automated post-production monitoring with pre-production pipeline data testing. We enable Data Engineers to effectively own DQ by "shifting left" the data quality initiatives from business to engineering.

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.

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

Nice to haves

• 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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