Hybrid Lead Data Engineer bei Pharmacy2U

Role:                                     Lead Data Engineer

Location:                             Leeds, hybrid working 1 day per week from our Leeds office

Salary:                                 £60,000 to £75,000, plus extensive benefits

Contract type:                    Permanent

Employment type:             Full time

Working hours:                  37.5 hours, Mon-Fri flex outside core hours (9:30 to 16:00)

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 1.6million 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.  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.

The Lead Data Engineer is responsible for guiding the technical direction and day-to-day leadership of the Data Engineering and Data Analytics Engineering team. This role supports the delivery of Pharmacy2U’s Data Strategy by ensuring the team builds scalable, high-quality data solutions that enable trusted insight, advanced analytics, and AI-driven decision making.

Working closely with the Technical Delivery Manager, Architects, DBAs, and other engineering teams, you will play a key role in delivering strategic data initiatives - including the development of a new Enterprise Data Warehouse. This is a hands-on leadership role in a growing, ambitious data function, offering the opportunity to shape the future of data at Pharmacy2U.

What’s in it for you?

Occupational sick pay                      

Enhanced maternity and paternity pay                        

Contributory pension 

Discounted insurance (Aviva)          

Employee discount site                                                  

Discounted gyms (via our blue light card and benefits schemes)

Employee assistance programme  

In-house mental health support                                   

Free onsite parking  

Health and wellbeing initiatives      

Social events throughout the year                                

Cycle to work scheme 

Green car scheme*(subject to minimum earnings)                   

Registration fees paid (GPhC, NMC, CIPD etc)             

Long service bonus 

Refer a friend bonus                        

Blue light card                                                                 

Hybrid working

Commitment to CPD/training         

25 days annual leave increasing with service

Annual leave buy and sell scheme

Discounts & Exclusive offers at The Springs, Leeds

25% Discount & health & beauty purchases 

25% Discount on Pharmacy2U Private Online Doctor Services

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.