Data Engineer

Dixons Carphone; City Of London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading tech retailer in London is seeking a Data Engineer to support the development of data infrastructure. You will build and maintain data pipelines, ensuring reliability and performance. Strong experience with Python, SQL, and cloud technologies is essential. The role offers hybrid working and competitive benefits.

Benefits

Company Pension

Company Bonus

Private Medical

Qualifications

• Strong experience building production-grade data pipelines.
• Proficiency in Python and SQL required.
• Experience with cloud platforms (Azure, GCP).
• Knowledge of streaming technologies and event-driven architectures.
• Understanding of DataOps principles and tools.

Responsibilities

• Build and maintain data pipelines processing billions of events daily.
• Implement infrastructure as code for scalability.
• Develop monitoring and alerting systems for data quality.
• Optimise data processing jobs for performance.
• Manage CI/CD pipelines for data applications.
• Troubleshoot and fix production issues.

Skills

Building production-grade data pipelines

Proficiency in Python

Proficiency in SQL

Experience with Azure

Experience with GCP

Experience in containerization technologies

Knowledge of streaming technologies

Familiarity with infrastructure as code

Understanding of DataOps principles

Strong troubleshooting skills

Experience with Databricks

Experience with Snowflake

Degree in Computer Science or Engineering

Cloud certifications

DevOps or data engineering certifications

Education

Degree in Computer Science or Engineering

Tools

Databricks

Snowflake

Terraform

CloudFormation

Job description

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.

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.
• 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

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.