Data Engineer

Currys plc; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Currys plc is seeking a Data Engineer in London with hybrid working. You will own end-to-end data domains, build scalable pipelines and ship AI-enabled products impacting the P&L. The role is full-time and permanent, with opportunities to lead data initiatives across the business.

The ideal candidate has strong Python/SQL skills, experience with Databricks/Snowflake, and cloud platforms such as Azure or GCP, plus IaC practices. A degree in CS or engineering is required.

Qualifications

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

Responsibilities

• Build and maintain data pipelines processing billions of events daily.
• Develop AI-powered solutions using Databricks Agent Bricks.
• Set up infrastructure as code for data and AI platforms.
• Create monitoring and alerting to protect data quality and model performance.
• Optimize data processing jobs for performance and cost.
• Collaborate with product/domain teams to deliver data features.

Skills

Python

SQL

Data pipelines

Troubleshooting

Real-time processing

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Azure or GCP

Terraform or CloudFormation

Job description

Role overview:

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. 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.

All the amazing things you'll do:

• Build and maintain data pipelines that process billions of events daily across batch and streaming systems.
• Develop Al-powered solutions including intelligent agents using Databricks Agent Bricks to improve productivity.
• Set up infrastructure as code for data and Al 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 Cl/CD pipelines for data and Al 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 Al-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 Al 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 please email [e-mail] and we'll do our best to help.