At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy processes into scalable pipelines.
- Company: Join a forward-thinking company driving high-impact data transformation.
- Benefits: Competitive salary, bonuses, and flexible work options in London.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Shape the future of data engineering and make a real impact on projects.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 90000 - 90000 £ per year.
Salary: £90,000 + Benefits/Bonus
Location: London – 1 or 2 days a week in London HQ
Own the rebuild of a modern data platform from the ground up. We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cloud-first architecture. They’re looking for a Data Engineer to take a leading role in that journey. This isn’t a role where you inherit a polished environment. It’s an opportunity to shape, modernise, and influence —from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP.
You’ll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.
The Role
- Data Engineering & Pipeline Development
- Transform legacy batch processes into scalable, observable data pipelines
- Build and deliver high-quality data products in line with architectural designs
- Work across modern cloud platforms including Databricks, Azure, and GCP
- Engineering Leadership & Collaboration
- Act as the technical authority for third-party and contract engineers
- Contribute to engineering communities and help define best practices
- Drive adoption of global standards across security, performance, and code quality
- Operational Performance
- Troubleshoot and resolve critical data issues with urgency
- Deliver long-term fixes rather than short-term patches wherever possible
- Optimise pipelines and queries to improve performance and control cloud costs
- Stakeholder Engagement & Mentorship
- Partner with Business Analysts to ensure data solutions deliver real value
- Mentor and support engineers through pairing and knowledge sharing
- Champion engineering excellence across the team
About You
- Degree in Computer Science, Data Science, or a related field (or equivalent experience)
- Strong experience (typically 5+ years) in data engineering roles
- Advanced skills in Python and SQL
- Hands-on experience with Databricks, Azure, and GCP/BigQuery
- Proven ability to work across both legacy systems and modern cloud environments
Key Skills
- DevOps mindset – you automate wherever possible and write clean, testable code
- Pragmatic approach – focused on delivering value without overengineering
- Strong communicator – confident engaging with stakeholders across the business
Why Apply?
- High-impact role with real ownership of platform direction
- Opportunity to modernise and shape a large-scale data estate
- Work in a collaborative, engineering-led environment
- Influence tooling, standards, and long-term strategy
Data Engineer in London employer: UK CPC
Join a forward-thinking company that values innovation and collaboration, offering a unique opportunity to lead the transformation of their data platform in London. With a strong focus on employee growth, you will have access to mentorship and the chance to shape best practices while working with cutting-edge technologies like Databricks, Azure, and GCP. Enjoy a supportive work culture that prioritises engineering excellence and provides a competitive salary alongside attractive benefits.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Databricks, Azure, and GCP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've transformed legacy systems into modern data pipelines and how you approach mentoring others.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented Data Engineers to join our team, and applying directly gives you a better chance to stand out. Let’s shape the future of data together!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data engineering experience, especially with tools like Databricks, Azure, and GCP. We want to see how you can contribute to our high-impact data transformation!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to highlight your advanced skills in Python and SQL. If you've worked on transforming legacy systems or building scalable data pipelines, share those experiences with us!
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at UK CPC
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks, Azure, and GCP. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've transformed legacy systems or optimised data pipelines. Highlight your ability to troubleshoot and deliver long-term solutions rather than quick fixes, as this aligns with the role's requirements.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with teams and mentoring others, be ready to share experiences where you've successfully collaborated or guided fellow engineers. This will show that you can contribute to a positive team environment.
✨Engage with Stakeholders
Demonstrate your strong communication skills by preparing to discuss how you've engaged with stakeholders in previous roles. Share examples of how you ensured data solutions delivered real value, as this is crucial for the position.
