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.

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.