DATA ENGINEER

Data Engineer
Waterloo - Hybrid Working
Full Time
Permanent
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 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.

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 Medica

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.
• 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