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- Tasks: Build and maintain data pipelines, develop AI solutions, and optimise data processing.
- Company: Join Currys, a leader in retail innovation and AI transformation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Diversity and inclusion are at the heart of our workforce.
- Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms required.
The predicted salary is between 55000 - 65000 £ per year.
Currys is engaging in a significant AI and automation transformation across its retail operations. The AI & Monetisation function focuses on rethinking customer discovery, store operations, supply chain dynamics, and the use of data to drive business decisions.
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, maintaining scalability and reproducibility.
- Create monitoring and alerting systems that safeguard data quality, model performance, and pipeline reliability.
- Optimise data processing jobs to enhance performance and reduce 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 implement permanent fixes to prevent recurrence.
- 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 impact real business outcomes.
- Confidence with Python and SQL, and hands‑on use of data processing frameworks in live environments.
- Experience with cloud platforms such as Azure or GCP and containerisation technologies.
- Knowledge of streaming technologies and event‑driven architectures that maintain continuous data flow.
- A practical approach to infrastructure as code using tools like Terraform or CloudFormation.
- Sharp troubleshooting skills that identify root causes and resolve them permanently.
- Experience with platforms such as Databricks or Snowflake, or similar data tools.
- Interest or experience in building AI‑powered solutions – hands‑on with Databricks Agent Bricks.
The essentials:
- Degree in Computer Science, Engineering, or equivalent hands‑on experience.
- Cloud certifications highly desirable.
- DevOps, data engineering, or AI engineering certifications beneficial.
We are committed to making inclusion and diversity a core aspect of our workforce.
Senior Data Engineer employer: Dixons Carphone
Contact Detail:
Dixons Carphone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. This gives potential employers a taste of what you can do, especially with tools like Databricks.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with cloud platforms and how you've tackled real-world data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Senior Data Engineer role and how your background in AI-powered solutions can contribute to our transformation at Currys.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving Databricks or streaming technologies, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dixons Carphone
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience building data pipelines. Be ready to discuss specific projects where you've processed large volumes of data and the impact it had on business outcomes. Highlight any challenges you faced and how you overcame them.
✨Show Off Your Tech Skills
Brush up on your Python and SQL skills before the interview. Be prepared to answer technical questions or even solve problems on the spot. If you've worked with cloud platforms like Azure or GCP, have examples ready to demonstrate your hands-on experience.
✨Understand AI and Automation
Since the role involves developing AI-powered solutions, make sure you understand the basics of AI and how it applies to data engineering. Familiarise yourself with Databricks Agent Bricks and be ready to discuss any relevant projects or ideas you have for improving productivity through AI.
✨Be a Team Player
Collaboration is key in this role, so be prepared to discuss how you've partnered with product and domain teams in the past. Share examples of how you contributed to shared engineering standards and best practices, and how you handle troubleshooting in a team setting.