ABOUT THE COMPANY
A fast-growing fintech company is hiring a Data Engineer to support the next phase of its product and data infrastructure evolution. The company is on a mission to make investing simple, accessible, and cost-effective - removing long-standing barriers and enabling millions of individuals to grow their wealth with confidence. In early 2025, it announced a strategic acquisition by a leading global investment group. The business remains independent, while gaining access to scale, resources, and market reach.
The team is rapidly expanding and launching new features including mutual funds, bonds, and family investing products. With AI and data playing an increasingly central role, this is a pivotal time to join.
ABOUT THE ROLE
The Data Engineer will join a growing data team focused on transforming high-volume data into trusted insights, tooling, and infrastructure. This role involves hands-on pipeline development, cloud deployment, and collaboration across product and engineering. You'll work in a modern data stack, help scale internal analytics capabilities, and shape the data foundations of a next-gen investment platform.
KEY RESPONSIBILITIES
Design, build, and deploy data pipelines using Python and SQL
Orchestrate pipelines in Dagster and deploy jobs into a Kubernetes cluster
Model clean, reliable datasets within BigQuery
Improve data quality and monitoring through alerting and automated testing
Deploy data infrastructure via Terraform and maintain CICD pipelines
Enhance operational efficiency and reliability of the data platform
Collaborate with product and engineering stakeholders to define best practices and deliver data-driven solutions
REQUIREMENTS
Proven experience writing and maintaining data pipelines in production
Strong coding skills in Python and SQL, with attention to testing and maintainability
Experience deploying data-centric applications in cloud environments (Google Cloud preferred)
Familiarity with a range of data sources including relational DBs, NoSQL, APIs, and cloud storage
Understanding of data security, privacy, and protection principles
Comfortable owning regular processing jobs and responding to data issues
WORKING MODEL
Hybrid model: 3 days in the London office (Monday, Tuesday, Thursday), 2 days remote
Designed for deep in-person collaboration with flexibility for personal circumstances
Supportive of parents and those with caregiving responsibilities
BENEFITS & CULTURE
Competitive salary with structured benchmarking
25 days annual leave plus UK public holidays, birthday off, and tenure-based bonus days
Enhanced pension with up to 5% company match
Private health insurance including mental health, dental, and vision care
Group life insurance at 5x salary and income protection cover
Enhanced parental leave for all caregiver types
Learning & development budget including sponsorship for industry qualifications
Cycle-to-work scheme with tax savings
Paid sick leave (10 days annually)
Values-led culture built on honesty, focus, and grit—expect these to guide your interview process
If you’re a data engineer looking to build at scale, collaborate with smart cross-functional teams, and shape data infrastructure at a growing fintech, this opportunity offers both impact and career growth.