Description
We’re seeking a strategic and hands-on Head of Data Engineering to lead our data engineering function through the next phase of our growth. This role will be critical in shaping our data infrastructure, enabling scalable data solutions, and guiding the data engineering team in supporting analytics, AI/ML, and business intelligence across the organisation.
You’ll be a leader who thrives on building future-ready data environments and driving best-in-class engineering practices while working closely with cross-functional stakeholders in product, engineering, and the wider business.
Key Responsibilities

Lead and scale the Data Engineering team, fostering a high-performing, collaborative culture
Own the design and implementation of data architecture, pipelines, and platforms across cloud (preferably AWS)
Drive the roadmap for our data infrastructure and tooling to support analytics, data science, and product development
Collaborate closely with Data Scientists, Analysts, Product Managers, and Engineers to align data solutions with strategic goals
Ensure data governance, data quality, and security best practices are upheld across all environments
Evaluate new technologies and vendors, leading innovation and process improvement
Act as a thought leader in the data space, helping to shape the company’s long-range data strategy
Provide technical leadership and mentorship across the team, supporting both career development and delivery excellence

Skills Knowledge and Expertise

Proven experience leading a data engineering function or large-scale data teams
Deep technical knowledge in modern data stack: SQL, Python, Spark, Airflow, DBT, etc.
Hands-on experience with cloud data platforms (AWS is a must; GCP or Azure also considered)
Strong expertise in data modelling, warehousing (e.g. Redshift, Snowflake), and real-time data processing
Solid understanding of data security, privacy, and compliance frameworks
Ability to translate business needs into scalable technical solutions
A growth mindset with strong people leadership, coaching, and communication skills
Experience in fast-paced environments, ideally within tech, fintech, or scale-ups

Benefits

Annual Leave: 25 days + bank holidays
Ability to buy and sell holiday days as well as the ability to bank days (tenure dependent)
Flexible working options: we are operating a hybrid working model with 3 days a week from the office
Pension: Hargreaves Lansdown – 6% matched contribution
Employee share scheme
Generous family friendly cover
Private healthcare - Bupa
Income protection
Critical illness cover
Life insurance cover
Dental cover
Optical cover
Yulife app for access to employee wellbeing and discounts
Perks at Work, cashback/discount shopping site
Employee referral scheme
Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
Volunteering program
Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
Team socials

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Head of Data Engineer