Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.
data quality • data management • data science • data engineering • data monitoring
March 11
Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.
data quality • data management • data science • data engineering • data monitoring
• We are looking for a Senior Data Engineer (Python) to improve and expand our Open Source and Cloud Products. • You will work with the 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.
• 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. • You're based in Europe and can work in Europe • Strong interest in Data Quality, Data Observability, and ML
• 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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