Senior Data Engineer
Jobgether · Netherlands
Internet Marketplace Platforms · 11-50 employees
About the role
Own and enhance the company's data platform, including architecture, modeling, and scalable production pipelines. Collaborate with backend engineers and stakeholders to implement observability and enable data-driven product features.
What they look for
Requirements
Requires at least 5 years of data engineering experience, preferably in B2B SaaS or startups, with strong proficiency in Python and SQL. Must have proven experience with AWS and modern data warehouses like Snowflake or BigQuery, along with DBT.
Benefits
Full description
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Accountabilities:
- Own and continuously enhance the company’s data platform, including data warehouse architecture, modelling strategies, and transformation frameworks.
- Design, build, and maintain scalable production data pipelines using modern cloud technologies and engineering best practices.
- Refactor and improve critical data flows to reduce technical debt, strengthen system integrity, and increase platform reliability.
- Collaborate closely with backend engineers to ensure data is generated, structured, and exposed correctly at the source.
- Partner with product and engineering stakeholders to enable data-driven features, telemetry, instrumentation, and customer-focused outcomes.
- Implement observability, testing, and monitoring processes to ensure robust and dependable data operations.
- Contribute to backend initiatives where data engineering and product development intersect, acting as an embedded engineering partner rather than a standalone analytics function.
Requirements:
- Minimum of 5 years of experience in data engineering roles, ideally gained within B2B SaaS companies or product-led startup environments.
- Strong proficiency in Python and SQL, with the ability to apply both languages to complex engineering and data challenges.
- Proven experience building, deploying, and operating production data pipelines on AWS.
- Hands-on expertise with modern data warehouse technologies such as Snowflake, BigQuery, Databricks, or Redshift.
- Experience using DBT or similar data transformation frameworks.
- Solid understanding of backend engineering principles, with the ability to review and contribute to application code when required.
- Comfortable taking ownership of projects end-to-end within dynamic, fast-growing teams.
- Strong communication, collaboration, and problem-solving skills, combined with a product-oriented mindset.
Benefits:
- Competitive salary package and equity participation opportunities.
- 25 days of annual leave in addition to public holidays.
- Pension contribution scheme.
- Fully equipped home-office and hardware setup from day one.
- Regular company offsites and social events.
- Flat organizational structure with transparent communication and direct access to leadership.
- Inclusive and collaborative working culture that values diversity, innovation, and individual perspectives.
\nHow Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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