Website Soda Data
Deliver data products that everyone can trust.
Elevate Data Quality with Soda Data: Senior Data Engineer (Python) – Remote (Europe)
Join Soda Data, a rapidly growing, venture-backed company at the forefront of data observability and testing. We are seeking a highly skilled Senior Data Engineer (Python) to contribute to the development and enhancement of our open-source (Soda Core) and cloud-based (Soda Cloud) products.
As a Senior Data Engineer, you will play a pivotal role in shaping the future of data quality by:
- Collaborating with senior product leadership, including the CTO, and a talented team of engineers to drive the implementation of key features in Soda Core and Soda Cloud.
- Owning the end-to-end development of critical components for our Data Observability and Data Testing offerings.
- Leveraging your deep expertise in data engineering to mentor and guide fellow team members.
- Contributing to the scalability of Soda Cloud to handle massive datasets.
- Actively participating in the open-source community by designing, implementing, and maintaining new features in Soda Core.
- Implementing internal tools to improve product development workflows.
About Soda Data:
Soda Data empowers organizations to proactively detect, resolve, and prevent data quality issues. Our innovative solutions, including the popular open-source Soda Core and the commercial Soda Cloud, enable data engineers to “shift left” data quality initiatives. We are backed by leading investors and are experiencing significant growth, with our tools utilized by prominent companies worldwide.
Qualifications:
- Extensive experience in building data/ML products or cloud software.
- Proficiency in Python and SQL, with a strong understanding of the Python data stack.
- Deep knowledge of software engineering best practices, including SOLID principles and design patterns.
- Comprehensive understanding of data warehouses, data lakes, pipeline testing, data mesh, and related data engineering concepts.
- Excellent written and verbal communication skills in English.
- Demonstrated ability to learn quickly and adapt to new technologies.
- Proactive, independent, and comfortable proposing innovative solutions.
- Must be based in Europe and able to work within European timezones.
- Strong interest in data quality, data observability, and machine learning.
Preferred Qualifications:
- Experience working with data quality solutions or tools for data engineers.
- Familiarity with common data warehousing platforms.
- Knowledge of the Python data science stack, including Scikit-learn.
- Experience with GitOps.
- STEM degree from a top tier university.
Benefits:
- Opportunity to join a well-funded, rapidly growing European open-source startup.
- Fully remote working environment with flexible hours.
- Competitive compensation (up to 110,000 EUR/year) plus equity.
- Collaborative and transparent company culture.
- Opportunity for professional growth and development.
Company Values:
We embrace freedom with responsibility, transparency, and a growth mindset. We foster open and direct communication, encouraging proactive problem-solving and collaboration.
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