Job Description

Role: Lead Data Engineer

Location: We operate a hybrid schedule, meaning 2-3 days a week in the office based at Thorpe Park, Leeds

Salary: DOE, plus extensive benefits

Contract type: Permanent

Employment type: Full time

Working hours: We work on a core hours principle. Our core hours are 09:30 - 16:00; you can work around these to suit you!

Do you want to work for the nation’s largest online pharmacy ensuring excellence for all our patients? We’re a market leader in the pharmacy world, with 25 years’ experience, helping over 1.8 million patients in England manage their NHS prescriptions from request through to delivery. We are Great Place to Work certified as we consider colleague experience a top priority every day, and as a certified B Corp we also meet high standards of social and environmental responsibility. Our people are fundamental to our success and ensuring we achieve our vision to be a world leading, patient-centric digital healthcare provider. We are committed to continuing to develop a positive, open and honest working environment for all.

As our Lead Data Engineer, you’ll guide the technical vision, mentor our data engineering teams, and build high‑quality, scalable data products that power insights, analytics, and AI.

Working closely with Architects, DBAs, and engineering teams, you’ll drive major strategic projects, including a brand‑new Enterprise Data Warehouse. This is a hands‑on role with real influence, where your expertise will shape how data drives the business forward.

Our tech teams keep us running 24/7 to make sure all our patients get world class service. To support that, this role may include participation in an out-of-hours rota as required by the business. We operate fair scheduling process as well as additional compensation for all on call periods.

Why you’ll love working with us

We believe great people deserve great support. That’s why we offer a benefits package designed to look after your health, finances, career and life outside work.

Financial security & rewards

· Competitive contributory pension

· Occupational sick pay

· Long-service awards and refer-a-friend bonuses

· Professional registration fees covered (GPhC, NMC, CIPD and more)

· Cycle to Work and Green Car schemes (subject to eligibility)

Family-friendly

· Enhanced maternity and paternity pay

· Flexible hybrid working to help balance work and home life

Health & wellbeing

· Private healthcare insurance at discounted rates (Aviva)

· Employee Assistance Programme and in-house mental health support

· Access to discounted gym memberships via Blue Light Card and benefits schemes

· Regular health and wellbeing initiatives

Career growth

· Strong commitment to CPD, training and professional development

Time off & flexibility

· 25 days’ annual leave, increasing with service

· Buy and sell holiday scheme

Everyday perks & exclusive discounts

· Blue Light Card and employee discount platform

· Exclusive discounts at The Springs, Leeds

· 25% off health & beauty purchases

· 25% off Pharmacy2U Private Online Doctor services

Culture & community

· Regular social events throughout the year

What you’ll be doing?

• Provide line management and coaching to Data Engineers and Data Analytics Engineers, supporting performance, growth, and engagement.
• Act as technical authority within the team, setting standards for data architecture, modelling, and engineering best practice.
• Contribute directly to delivery, leading by example through high-quality engineering on critical initiatives.
• Collaborate with the TDM to ensure the team operates efficiently within our agile delivery framework, contributing to estimation, planning, and retrospectives.
• Guide and support the design and build of robust, scalable data pipelines and curated datasets, including the delivery of EDWv4 and other Tardis programme workstreams.
• Foster a culture of continuous improvement, innovation, and knowledge sharing within the team.
• Represent the team in cross-functional forums and contribute to shaping the broader data landscape, including tooling, patterns, and governance.

Who are we looking for?

• Proven ability leading and line managing technical data teams
• Experience with cloud data platforms such as Microsoft Azure
• Strong SQL query and scripting
• Experience consuming data from various sources, such as RESTGraph QL APIs, CSV, Parquet
• Ability to translate technical concepts into non-technical language
• Knowledge of data modelling theory
• Familiarity with data governance principles and best practice to ensure data quality, security, and compliance.
• Ability to troubleshoot and debug complex data engineering problems, including performance bottlenecks and data pipeline failures.
• Excellent communication skills, and attention to detail

What happens next?

Please click apply and if we think you are a good match, we will be in touch to arrange an interview.

Applicants must prove they have the right to live in the UK.

All successful applicants will be required to undergo a DBS check.

Unsolicited agency applications will be treated as a gift.

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