Senior Data Product Engineer (f/m/d)

External

Upvest · Berlin, Germany

Full-timeRemoteToday

ApacheAWSAzureComplianceDatadogGCP

Cover Letter Connect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

About the role

Upvest's data platform powers near real-time financial analytics about operations across trading, payments, risk, and compliance. We're building the next generation of our data infrastructure - an Iceberg-backed Lakehouse and CDC-powered pipelines that give engineers, analysts, and business users a single, reliable place to work with data at scale. You'll own our Kafka consumer and CDC pipelines, help architect and deliver the Lakehouse foundation, and act as a trusted consultant for data integration, modelling, and schema design across the organization. If you care about reliability, scalability, and lowering the barrier to working with data - this is your role. We are open to hire remotely in Europe for this role.

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 the use cases of engineering and analytics alike

Act as a data consultant across the organization - advising on data integration, modelling, and schema design for teams building on or contributing to the platform

Deliver self-service data solutions that enable engineers, analysts, and business users to work with the data platform independently

Drive data observability: set up tests, metrics, and alerting for pipeline health and data quality using observability tooling such as Datadog

Work closely with product engineering teams to ensure reliable, timely data availability

Champion data culture - share knowledge, establish best practices, and help teams understand and trust their data

What you bring:

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 (we run primarily on GCP)

Experience with schema design and data modelling principles - able to advise teams across the organization

Experience setting up data observability and monitoring (Datadog, Grafana, Prometheus, etc.)

A product and consulting mindset - able to understand the needs of engineers, analysts, and business users and translate them into platform solutions

Strong communication skills and ability to promote data literacy across the organization

It's great if you have:

Experience with or strong interest in CDC tooling (Debezium, Fivetran, or similar)

Familiarity with open table formats such as Apache Iceberg, Delta Lake, or Hudi - or strong interest in growing into this space

Experience with building Agentic AI

How we Upvest in you:

Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available - so you're always working with the most powerful models and tooling on the market.

Impact-driven work: We're building the infrastructure that will power the future of investing in Europe. It's complex, ambitious, and meaningful. You'll work with modern technologies and create something entirely new. No legacy systems, no limits.

Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it.

Flexible work environment: Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across E

Senior Data Product Engineer (f/m/d)

About the role

Responsibilities

Benefits

Additional Information

Your Match

Company Intel

What employees say

Interested in this role?