Senior Data Product Engineer (f/m/d) in London

Senior Data Product Engineer (f/m/d) in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Own and improve data pipelines, design scalable solutions, and champion data culture.
  • Company: Join Upvest, a leading fintech empowering investment experiences across Europe.
  • Benefits: Enjoy 30 days leave, remote work flexibility, and a personal development budget.
  • Other info: Be part of a diverse team with excellent career growth opportunities.
  • Why this job: Make a real impact in the future of investing with cutting-edge technology.
  • Qualifications: Experience with event-driven data pipelines and strong SQL skills required.

The predicted salary is between 60000 - 80000 £ per year.

At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business.

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.

What you’ll do

  • 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.
  • Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year.
  • 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 Europe, depending on the role.
  • Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program.
  • Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements.
  • Inclusion: We’re committed to a culture where everyone belongs and thrives.

Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Contact Details:

Upvest Recruitment Team

We think you need these skills to ace Senior Data Product Engineer (f/m/d) in London

Kafka
Event-Driven Data Pipelines
Python
Go
SQL
Data Transformation
Infrastructure-as-Code (Terraform)