Senior Data Engineer

Currys
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

This job is with Currys, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Role overview: Senior Data Engineer
Waterloo - Hybrid Working
Full Time
Fixed Term Contract (12 Months)
Grade 4

At Currys we're united by one passion: to help everyone enjoy amazing technology. As the UK's best-known retailer of tech, we're proud of the service our customers receive - and it's all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
The Role of the Senior Data Engineer is to support the development and maintenance of data infrastructure and pipelines, contributing to the reliability and efficiency of our data platforms.
Tech and Transformation are at the heart of delivering the future vision for Currys. We drive innovation that creates seamless, secure experiences for customers and colleagues - whether migrating to the latest technology, enhancing security, or deploying smart tools to our stores. Using analytics, AI and automation, we generate real value - personalising journeys, improving decision making and unlocking new opportunities. Working across the business, we simplify, streamline and evolve how things get done. And with access to learning platforms, mentoring and career support, you'll grow as fast as the tech we build.
Role overview: You'll work closely with product managers, engineers, and technology colleagues to make sure our data infrastructure is reliable, scalable, and future-ready. You'll also partner with marketing, digital, and customer teams to ensure data flows seamlessly into the platforms that power great customer experiences. Collaboration is key, and you'll be part of a community of engineers who share ideas, solve problems together, and set high standards for how we deliver data at Currys.
As part of this role, you'll be responsible for:
• Build and maintain data pipelines capable of processing billions of events daily across batch and streaming systems.
• Implement infrastructure as code for data platform components, ensuring scalability and reproducibility.
• Develop monitoring and alerting systems to safeguard data quality and pipeline reliability.
• Optimise data processing jobs for performance and cost efficiency.
• Partner with product teams to deliver new data features and capabilities.
• Set up and manage CI/CD pipelines for data applications and infrastructure.
• Troubleshoot production issues, applying permanent fixes to stop repeat problems.
• Contribute to shared engineering standards and best practices.
You will need:
• Strong experience building production-grade data pipelines at scale.
• Proficiency in Python and SQL, with hands-on use of data processing frameworks.
• Experience with cloud platforms (Azure, GCP) and containerisation technologies.
• Knowledge of streaming technologies and event-driven architectures.
• Familiarity with infrastructure as code (e.g. Terraform, CloudFormation).
• Understanding of DataOps principles and tools.
• Strong troubleshooting and debugging skills.
• Strong Experience with Databricks, Snowflake, or similar platforms.
• Degree in Computer Science, Engineering, or equivalent experience.
• Cloud certifications are beneficial.
• DevOps or data engineering certifications are also a plus
We know our people are the secret to our success. That's why we're always looking for ways to reward great work. You'll find a host of benefits designed to work for you, including:
Company Pension
Company Bonus
Private Medical
Why join us: Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.
Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we're in a position to make a real impact on people and the planet.
Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and we'll do our best to help.

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.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.