Senior Data Product Engineer
HV Capital is a European venture capital firm that provides capital and support to bold founders across multiple stages and industries. With 26 years of experience, they have backed companies across AI & Enterprise Software, Deep Tech, Resilience & Defence, FinTech, and Consumer sectors.
About HV Capital
HV Capital is a venture capital firm with 26 years of experience investing in European innovation across multiple industries and business cycles. The firm backs founders from early stage through growth, spanning multiple fund generations, with a portfolio that includes companies in AI & Enterprise Software, Deep Tech, Resilience & Defence, FinTech, and Consumer sectors. Notable portfolio companies include NEURA Robotics, Zalando, n8n, Isar Aerospace, Quantum Systems, ARX, and Scalable Capital, with several portfolio companies having reached IPO. HV Capital has approximately €2.89 billion in assets under management and works with founders across multiple disciplines and team perspectives.
Skills
About the Role
You will own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data. You will design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform, and you will design, build and maintain foundational data serving layers that scale for both engineering and analytics use cases. You will act as a data consultant across the organization, advising teams on data integration, modelling, and schema design. You will deliver self-service data solutions so engineers, analysts, and business users can work with the data platform independently. You will drive data observability by setting up tests, metrics, and alerting for pipeline health and data quality. You will work closely with product engineering teams to ensure reliable, timely data availability, and you will champion data culture by sharing knowledge and establishing best practices across teams.
Requirements
- Strong experience building and operating event-driven data pipelines, ideally with Kafka or similar streaming infrastructure
- Experience with Python, Go or another systems-level language for building data infrastructure
- Solid SQL skills for data transformation, modelling, and staging layer development
- Familiarity with infrastructure-as-code tooling such as Terraform for managing cloud resources
- Experience working with cloud providers such as GCP, AWS, or Azure
- Experience with schema design and data modelling principles
- Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)
- A product and consulting mindset
- Strong communication skills and ability to promote data literacy across the organization
- Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar) is a plus
- Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi is a plus
- Experience with building Agentic AI is a plus
Responsibilities
- Own and improve the Kafka consumer pipeline that captures, transforms, and warehouses event data
- Design and build CDC-based pipelines to capture and replicate changes from source systems into the data platform
- Design, build and maintain foundational data serving layers that scale and serve engineering and analytics use cases
- Act as a data consultant across the organization, advising on data integration, modelling, and schema design
- Deliver self-service data solutions for engineers, analysts, and business users
- Drive data observability by setting up tests, metrics, and alerting for pipeline health and data quality
- Work closely with product engineering teams to ensure reliable, timely data availability
- Champion data culture by sharing knowledge and establishing best practices
Benefits
- €20,000 per year to spend on AI tools
- 30 days of annual leave
- Sports benefits
- Confidential professional coaching
- Flexibility to work remotely abroad for up to 183 days a year
- One-month fully paid sabbatical after every 4 years of working at Upvest
- Personal development budget
- Flexible work environment across Berlin, London or Tallinn hubs, hybrid or remote across Europe
- Employee equity program
- Company-wide events, dinners, offsites and Holiday party
- Employee Resource Groups