Role overview

Data Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Your responsibilities will include:

  • Pipeline Architecture: Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams.
  • Enterprise Warehousing: Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant.
  • Modern Transformation: Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows.
  • Quality & Deployment: Implement automated testing frameworks and deploy scalable services using Docker and Kubernetes to ensure operational health.
  • Stakeholder Partnership: Act as a strategic partner to Product and Engineering, facilitating data design sessions to optimise how data is ingested and utilised.
  • Mentorship & Standards: Raise the bar for technical excellence within the squad through code reviews, design sessions, and documenting best practices.

We put people first. It’s all about you..

  • Technical Mastery:You have extensive experience leading the design of data systems and models.You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects.You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
  • You have extensive experience leading the design of data systems and models.
  • You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects.
  • You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
  • Impact & Scope:You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery.
  • You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery.
  • Planning & Delivery:You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
  • You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
  • Operational Excellence:You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
  • You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
  • Business & Domain Knowledge:You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions.
  • You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions.
  • Leadership & Culture:You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department.
  • You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department.

Details

  • You have extensive experience leading the design of data systems and models.
  • You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects.
  • You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas.
  • You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery.
  • You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation.
  • You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale.
  • You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions.
  • You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department.

Skills / Competencies

  • Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures.
  • Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences.
  • Accountability: Willingness to take ownership of critical systems and participate in on-call rotations.
  • Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team.

Possible Next Career Steps

  • Senior Data Engineer
  • Staff Data Engineer

So why pick UW?

  • Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation.
  • Performance bonus: An annual discretionary bonus ranging from 15-40%.
  • Flexible working: We’re a remote-first business.
  • Work-life balance: We offer an optional four-day working week (90% pay for 90% impact).
  • Work from anywhere: You can work abroad for up to three weeks, twice every tax year.
  • Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year.
  • UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox
  • Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary).
  • Family first: Policies designed to help you and your family thrive.
  • Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership.
  • Sabbaticals: An eight-week paid sabbatical after four years of service.
  • Growth: A dedicated learning and development budget and bi-annual promotion cycles.
  • Inclusion: Join belonging groups that help shape our culture.
  • Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’.
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FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackDocker, Kubernetes, PythonPrimary skills
Location1 accepted countryEligibility

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