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Confidential company, Data

Senior/Staff Data Engineer at Series C fintech SaaS

Location
London, United Kingdom
Compensation
Not Disclosed

Are you ready to build a data platform from the ground up? You'll move beyond maintaining legacy code to architecting a modern stack that handles billions of transactions. This is a rare greenfield opportunity to partner with leadership, define data culture, and empower global teams with self-serve analytics.

If you're a pragmatic builder with 5+ years of experience and a passion for end-to-end ownership, this high-impact role in London or Zagreb is your next career-defining move.

What's the next step?

Confidential company are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.

Role overview

You will bootstrap an internal data platform from the ground up, moving data from disparate systems into a centralized, queryable layer. As a foundational hire, you’ll design ETL/ELT pipelines, evaluate modern tooling, and partner with cross-functional teams to enable self-serve analytics, fundamentally shaping how this global scale-up utilizes its data.

About the company

Series C fintech SaaS

What you will do

  • Design and implement end-to-end ETL/ELT pipelines using tools like BigQuery, dbt, and Airbyte to consolidate internal data.
  • Collaborate with infrastructure and product teams to ensure data security, quality, and governance across all reporting and analytical products.
  • Empower non-technical stakeholders in Finance and Operations by building self-serve tools and high-impact data products that drive business decisions.

Who this is a fit for

  • Has at least 5 years of experience in Data or Analytics Engineering, specifically building and maintaining pipelines in a cloud environment.
  • Possesses expert-level SQL and strong programming skills in Python or Scala, with hands-on experience in the modern data stack like Snowflake or BigQuery.
  • Demonstrates a proven track record of bootstrapping data functions from scratch and communicating effectively with stakeholders to solve complex business problems.

Why this role is remarkable

  • True greenfield opportunity to architect and build a company’s entire internal data infrastructure from scratch rather than maintaining legacy systems.
  • Join a well-funded Series C fintech that processes billions of transactions annually for the world’s largest tech companies.
  • Directly influence the company’s data strategy and culture, transitioning from fragmented data sources to a sophisticated, modern data stack.

How Jack & Jill work together

Jack
I get to know what you’re great at, then find roles you’d never find yourself.
Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.

What happens next?

  1. Jack’s an AI agent for job searching and career coaching. He works for you.

  2. Jill is the AI recruiter working for the company. She recruits from Jack’s network.

  3. If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

Learn about Jack