Senior AI Engineer - Data Pipelines & AI Platforms (Hybrid) in City of Westminster

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.

You'll be part of Tech and Transformation, where we're building AI‑powered solutions that genuinely change how Currys works. We drive innovation that creates seamless, secure experiences – from modernising platforms to deploying smart tools across stores, supply chain, contact centres and corporate teams. Using analytics, AI and automation, we simplify work, improve decisions and unlock new opportunities. It's a team that values curiosity and collaboration, and with access to learning platforms and mentoring, you'll grow as fast as the tech we build.

You'll work closely with product managers, engineers and technology colleagues to keep our data and AI infrastructure reliable, scalable and future‑ready. Your work spans a wide range of business solutions – from core trading and supply chain to finance, stores, colleague tools and emerging AI initiatives. You'll partner with product and domain teams across Currys to deliver new data features, capabilities and agent‑driven tools. You'll also collaborate with platform and operations teams to maintain robust, high‑performance analytical pipelines. A key part of your role is being part of a community of engineers who share ideas, solve problems together and set high standards for how we deliver data and AI at Currys.

All the amazing things you'll do:

• Build and maintain data pipelines that process billions of events daily across batch and streaming systems.
• Develop AI‑powered solutions including intelligent agents using Databricks Agent Bricks to improve productivity.
• Set up infrastructure as code for data and AI platforms, keeping everything scalable and reproducible.
• Create monitoring and alerting systems that protect data quality, model performance and pipeline reliability.
• Optimise data processing jobs to improve performance and cut costs.
• Partner with product and domain teams to deliver new data features and agent‑driven tools.
• Build and manage CI/CD pipelines for data and AI applications.
• Troubleshoot production issues and apply permanent fixes to stop problems recurring.
• Contribute to shared engineering standards and best practices across the team.

All the things you'll bring:

• Strong experience building production‑grade data pipelines at scale that handle real business impact.
• Confidence with Python and SQL, and hands‑on use of data processing frameworks in live environments.
• Experience with cloud platforms like Azure or GCP and containerisation technologies.
• Knowledge of streaming technologies and event‑driven architectures that keep data flowing.
• A practical approach to infrastructure as code using tools like Terraform or CloudFormation.
• Sharp troubleshooting skills that get to the root of problems and fix them for good.
• Experience with platforms like Databricks or Snowflake, or similar data tools.
• Interest or experience in building AI‑powered solutions – hands‑on with Databricks Agent Bricks beneficial.

The essentials:

• Degree in Computer Science, Engineering, or equivalent hands‑on experience.
• Cloud certifications highly desirable.
• DevOps, data engineering, or AI engineering certifications beneficial.

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, apply to careers@currys and we'll do our best to help.