Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Pharmacy2U Ltd.
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Role:Data Engineer

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

Salary: £45,000 to £55,000 DOE, including extensive benefits

Contract type: Permanent

Employment type: Full time

Working hours: 37.5 hours per week, with core hours operating between 9:30 to 16:00, Mon-Fri

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 1.6 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. 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.

Working for a market leading organisation as a Data Engineer, you will be responsible for the design, documentation and delivery of data flows that connect production, and analytical systems. Working in a cloud based environment, migrating from monolithic to microservice models. Following best practice, delivering change via CI/CD pipelines.

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?

  • Design and implement data flows to connect production and analytical systems. Create solution and data-flow diagrams, as well as documentation to support governance, maintenance, and usage by internal teams. Ensure adherence to change and release management processes.
  • Communicate with stakeholders to properly understand requirements, translating between technical and non-technical language.
  • Support the development of data products based on varied data sources, using a range of storage technologies and access methods.
  • Assess the current state and recommend appropriate tools and techniques to satisfy new requests.
  • Re-engineer existing data flows to better support scalability.
  • Consider non-functional requirements such as auditing and archiving of data.
  • Support data quality and master data management, and assist BI developers and software engineers in effectively integrating and reporting on data with accuracy and reliability.
  • Respond to support escalations from DevOps and technical colleagues, providing troubleshooting as required.

Who are we looking for?

  • Experience with cloud data platforms such as Microsoft Azure
  • Working with REST APIs
  • Must have demonstrated history working as a Data Engineer
  • Ability to translate technical concepts into non-technical language
  • 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.

#INDLP


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.