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. 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.
Soda was founded in 2019 by Maarten, an employee #5 in Collibra, where he worked in Go-To-Market leadership, and Tom, who launched multiple OSS projects that generated 100s Million in value. Together, they built a tool that ensures data quality across Data Engineering, Data Governance, and business use cases.
Soda’s product offering consists of an open-source project called Soda Core, which is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. Soda commercializes its software through the Soda Cloud product. We're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo.
This is a unique opportunity to shape the Data Quality software used by Data Engineers for the decades to come.
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
Our Values
We value freedom with responsibility, transparency, and a growth mindset. We dislike politics and bullshit and value open and direct communication without judgment. We proactively bring up and address potential issues before they become critical and overcommunicate frequently. Working at Soda, you will have full autonomy to make impactful product and roadmap decisions and prioritize and organize your work how you see fit.
❤ Why you will love to join Soda
Working with a fast-growing international VC-funded startup with a flat structure
You will have full ownership of the things you work on
An international and diverse team
Fully remote, flexible work, with as many opportunities to meet up as you want!
Open Source Product with all the perks that come with that
😡 What you might not love
Fast-paced environment with a LOT of work to be done
You will have to learn new things all the time
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
Strong interest in Data Quality, Data Observability, and ML
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
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