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- Tasks: Manage digital data products and create solutions in Google Cloud Platform.
- Company: Currys is the UK's leading tech retailer, committed to inclusivity and sustainability.
- Benefits: Enjoy hybrid working, company bonuses, private medical, and a pension scheme.
- Why this job: Join a team that values growth, innovation, and making a positive impact on the planet.
- Qualifications: Experience with GCP, Python, SQL, and digital data environments is essential.
- Other info: Be part of a diverse team dedicated to shaping the future of technology.
The predicted salary is between 36000 - 60000 £ per year.
Full Stack 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.
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
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 and we\’ll do our best to help.
Data Engineer employer: Currys
Contact Detail:
Currys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its services, especially those related to data engineering. Being able to discuss specific GCP tools and how you've used them in past projects will show your expertise and readiness for the role.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the Data Engineer position. Consider working on personal projects or contributing to open-source projects that involve building data pipelines to demonstrate your coding abilities.
✨Tip Number 3
Network with current or former employees of Currys, especially those in data roles. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss your experience with data governance and management concepts. Be ready to share examples of how you've ensured data quality and observability in previous roles, as this is a key aspect of the job.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Currys. Familiarise yourself with the technologies mentioned, such as Google Cloud Platform, Python, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your programming expertise, experience with data pipelines, and any familiarity with digital analytics tools like Adobe and Google Analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and problem-solving. Mention specific projects or experiences that demonstrate your ability to manage data products and collaborate with teams effectively.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Currys
✨Showcase Your Technical Skills
Make sure to highlight your experience with Google Cloud Platform, Python, and SQL during the interview. Be prepared to discuss specific projects where you've built data pipelines or worked with large datasets, as this will demonstrate your technical expertise.
✨Understand the Company’s Data Needs
Research Currys and their digital data environment. Familiarise yourself with their use of Adobe and Google Analytics, and be ready to discuss how you can contribute to their analytics solutions and improve existing processes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've identified inefficiencies in data processes and how you implemented best practices to resolve them. This will show your analytical thinking and initiative.
✨Demonstrate Stakeholder Management Skills
Since good stakeholder management is crucial for this role, prepare to discuss how you've gathered requirements from various stakeholders in the past. Share examples of how you made business recommendations based on data insights, showcasing your communication skills.
