Data Engineering Manager

Hargreaves Lansdown
Bristol, UK
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Audit Trail BigQuery Code Review Continuous Integration Information Engineering Data Governance Data Infrastructure Operational Databases Software Engineering Data Streaming
+11 more
Strategies of Testing Workflow Management Systems Feature Engineering Snowflake Technical Debt Data Layers Event Driven Architecture Deployment Automation Data Management Machine Learning Operations Amazon Redshift

Job description

Someone needs to make sure the engineering actually ships, reliably, at scale, and to a standard that holds up under regulatory scrutiny. That’s this role.

You’ll lead a team of data engineers, owning delivery end-to-end: pipelines, transformations, platform components, production operations, and the engineering practices that tie it all together. You’ll set the bar for quality and ownership, manage cost and performance, and build a team culture where things are done properly, not just done.

This is hands-on leadership. You won’t be writing every pipeline, but you’ll know what good looks like, hold people to it, and clear the path so they can deliver. You’ll operate in a regulated financial services environment where auditability, resilience, and governance aren’t optional extras, they’re the baseline.

What you’ll be doing

  • Leading a team of data engineers - hiring, coaching, developing, and setting clear expectations for delivery quality and ownership
  • Owning end-to-end engineering delivery against the data product roadmap: pipelines that are idempotent, tested, observable, and documented
  • Running production operations - monitoring, incident response, root-cause analysis, and ensuring issues are resolved with clear ownership and learning
  • Defining and enforcing engineering standards across the team: coding conventions, testing strategy, CI/CD, code review, and documentation
  • Owning the cost and performance profile of data infrastructure - actively optimising compute, storage, and resource utilisation
  • Managing technical debt as a visible backlog item, not an invisible tax on delivery speed
  • Partnering with Data Product Managers on priorities and trade-offs, and with the Principal Data Modeller on data model standards
  • Ensuring engineering delivery meets regulatory, security, and governance requirements - auditable, recoverable, and secure by default, Based at our Bristol head office (BS1 5HL), 37.5 hours per week, Monday to Friday. We offer hybrid flexible working - a mix of office and home.

Requirements

  • 8+ years in data engineering or software engineering, with at least 2-3 years in people management
  • Proven experience delivering and operating production data platforms and pipelines at scale
  • Experience defining and enforcing engineering standards across a team
  • Strong operational mindset: reliability, monitoring, incident response, cost management
  • Hands-on with modern cloud data platforms (e.g. Snowflake, BigQuery, Redshift)
  • Experience with orchestration tools (e.g. Airflow, Dagster), CI/CD, and automated deployment
  • Confident influencing stakeholders and making delivery trade-offs with transparency
  • Comfortable delegating - accountable for outcomes, not personal code output
  • Demonstrated ability to build, grow, and retain high-performing engineering teams
  • Experience in a regulated environment (financial services, insurance, or banking)
  • Experience operating within a data product or platform operating model, not solely project-based delivery

Desirable

  • Experience with transformation frameworks (e.g. dbt)
  • Experience with streaming or event-driven architectures
  • Exposure to semantic layers, metrics layers, or feature engineering patterns
  • Experience managing platform costs and optimising spend at scale
  • Familiarity with data governance tooling (catalogues, lineage tools, quality frameworks)
  • Experience supporting AI/ML feature pipelines or model serving infrastructure

Benefits & conditions

  • Discretionary annual bonus* and annual pay review
  • 25 days* holiday plus bank holidays and 1-day additional Christmas closure
  • Option to purchase an additional 5 days holiday**
  • Flexible working options available, including hybrid working
  • Enhanced parental leave
  • Pension scheme up to 11% employer contribution
  • Income Protection and Life insurance (4 x salary core level of cover)
  • Private medical insurance*
  • Health care cash plans - including optical, dental, and outpatient care
  • Health screening programme
  • Help@hand - confidential support including mental health counselling and remote GP
  • Wellhub - unlimited access to fitness providers and wellness coach sessions
  • Variety of travel to work schemes with bike storage and shower facilities
  • Inhouse barista and deli serving subsidised coffee and sandwiches
  • Two paid volunteering days per year

  • dependant on role level

** only available to select during our annual benefits window, in November each year

About the company

Here at HL, we’re the UK’s number 1 investment platform for private investors, based in Bristol. For more than 40 years we’ve helped investors save time, tax and money on their investments.

To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We’re steered by core values that promote service, quality, innovation, and opportunity in everything we do.

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Apply on hargreaveslansdown.wd3.myworkdayjobs.com
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