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

Apply Now

Senior Data Engineer

Next
Leicester
20 hours ago
Create job alert
Job Description

We are looking for a Senior Data Engineer to join our eCommerce Data team at NEXT. Based from NEXT Head Office in Leicestershire with a competitive salary range and great benefits!


Let’s talk numbers. When it comes to UK retail, it’s hard to find a bigger name. We sell thousands of items an hour and are expanding our e‑commerce business by the second. For anyone in Tech, this is the place to learn, grow and thrive.


Your role is at the heart of this growth. eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general.


About The Role

As a Senior Data Engineer at Next, you will be instrumental in developing and maintaining scalable data solutions within our Azure environment. You will be responsible for building robust data pipelines, ensuring data quality, and supporting our data science and analytics teams. This is a hands‑on role where you will be expected to not only develop but also mentor junior engineers and trainees, and contribute to the overall technical strategy of our data platform. You will primarily work with PySpark, SQL on Databricks to deliver high-performance data solutions.



  • Design, develop, and maintain scalable data pipelines and ETL processes using Azure services (e.g. Azure Data Factory, Azure Databricks)
  • Ensure data quality, integrity and security across all data platforms, implementing best practices for data governance
  • Collaborate with data scientists, business analysts and other stakeholders to understand data requirements and provide necessary data infrastructure and solutions
  • Manage and optimise processes for performance, scalability and cost‑efficiency
  • Mentor and guide juniors, fostering a culture of technical excellence and continuous learning
  • Troubleshoot and resolve complex data-related issues, ensuring high availability and reliability of data systems

You’ll be doing all this from our Leicestershire Head Office. Our offices are inspiring, but we understand that life happens. We’re big on making sure your work works for you which is why we offer flexible working.


About You

  • Strong knowledge of Python, PySpark and SQL, with extensive experience in developing and optimising data pipelines
  • In‑depth knowledge and hands‑on experience with Azure data services, including Azure Databricks, Azure Data Factory and Azure Data Lake Storage
  • Strong understanding and working experience of building CI/CD pipelines using relevant tools (e.g. Azure DevOps, Git) for data solutions
  • Hands‑on experience of working with third‑party APIs for data transfers
  • Excellent problem‑solving skills and attention to detail
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross‑functional teams

Desirable Skills

  • Experience with building streaming data pipelines and Delta Live Tables using PySpark/Databricks
  • Experience with working in Google Cloud Platform is desirable

About The Team

  • 25% off most NEXT, MADE, Lipsy, Gap and Victoria's Secret products (when purchased through NEXT)
  • Company performance based bonus
  • Sharesave scheme
  • On‑site Nursery available; OFSTED outstanding in all areas
  • 10% off most partner brands & up to 15% off Branded Beauty
  • Early VIP access to sale stock
  • Access to fantastic discounts at our Staff Shops
  • Restaurants with great food at amazing prices
  • Access a digital GP and other free health and wellbeing services
  • Free on‑site parking
  • Financial Wellbeing – Save, track and enhance your financial wellbeing
  • Apprenticeship – Grow and develop on the job whilst gaining a qualification
  • Direct to Work – Discount online and instore, collect your items the next day for free from your place of work or local store
  • Support Networks – Access to Network Groups to empower and celebrate each other
  • Wellhub – Discounted flexible monthly gym memberships, with apps, PT sessions and more

We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long‑term condition, feel free to get in touch with us by email (please include “Workplace Adjustments” in the subject line) or call us on and leave a voicemail.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – SC Cleared

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.