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Data Engineer

ParleyX
City of London
4 weeks ago
Applications closed

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Data Engineer

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Data Engineer

Data Engineer

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.


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