Senior Data Engineer

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.

Currys is in the middle of one of the most ambitious AI and automation shifts in UK retail. We are rethinking how customers discover and buy technology, how stores operate, how supply chains move, and how colleagues do their best work. We’re reshaping how the business trades, plans and serves. The AI & Monetisation function is where the boldest bets get placed. The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with the stakeholders who run it, and ship products that move the numbers in the P&L. These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.

Role overview:

• 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 such as 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.

All the essentials:

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

Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, ongoing 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 careers@currys.co.uk and we’ll do our best to help.