At a Glance
- Tasks: Build impactful data pipelines and create valuable customer insights using Python and SQL.
- Company: Join a global blue-chip company with a focus on data monetisation.
- Benefits: Competitive salary, 25% bonus, private healthcare, and a birthday day off.
- Other info: Dynamic team environment with excellent career growth opportunities.
- Why this job: Make a real impact by transforming rich customer data into high-value products.
- Qualifications: Solid experience in Python, SQL, and Google Cloud; eagerness to learn is essential.
The predicted salary is between 46000 - 69000 £ per year.
Data Engineer - Data Monetisation
Global Blue Chip
£46k - £69k base + 25% bonus + company benefits (10% match pension, 25 days annual leave plus your birthday off, private healthcare + more)
London - 2 days a week
Most data engineering jobs are about keeping the lights on. This one is about building something that actually matters. Our client is sitting on some of the richest customer data in the UK. The team you'd be joining turns that raw data into high-value customer signals and commercial data products - the kind of work that has real commercial weight behind it.
As a Data Engineer, you won't be babysitting old pipelines. You'll be building new ones, writing clean Python and SQL, working with ML models to find genuine customer insights, and contributing to a platform built on Google Cloud.
What you'll be doing:
- Building and maintaining data pipelines and warehousing solutions that actually hold up under pressure.
- Writing code that follows proper governance and quality standards — not just code that works, but code the next person can understand and build on.
- Using analytical and modelling techniques across a vast dataset to create customer insights and segments that have real commercial value.
- Collaborating with internal teams to understand what data is available, hunt down quality issues, and make sure the products you're contributing to are reliable.
- Taking ownership of your tickets, showing up to agile ceremonies, and shipping work on time.
What you need to bring:
- Solid Python and SQL. This is non-negotiable.
- Real experience as a Data Engineer, building pipelines and doing data analysis — not just exposure to it.
- Hands-on experience with Google Cloud, specifically BigQuery, Cloud Run and DBT Cloud.
- Version control and CI/CD experience, ideally with GitLab.
- Familiarity with Jira and Confluence. Nothing exotic, but you need to be comfortable working in an agile environment.
- A genuine willingness to learn. The data landscape moves fast. If you need everything pinned down before you start, this probably isn't the right fit.
Nice to have:
- Some experience with machine learning, specifically BigQueryML, MLOps or Gen AI applications.
- Experience working with big data at scale.
The benefits:
- Bupa healthcare from day one.
- Income protection if you're unable to work.
- Life assurance.
- A birthday day off.
- Option to buy or sell up to 5 days' holiday.
- Discounts on our clients' products for you and your family.
- Plus a pension with employer contributions.
Next steps:
Two-stage interview process if shortlisted. This role will move quickly. If it's caught your attention, don't sit on it. Apply now, and one of our team will be in touch within 48 hours.
Data Engineer: Build High-Impact External Data Products employer: Trades Workforce Solutions
Join a leading global blue chip company as a Data Engineer, where you'll have the opportunity to build impactful data products that drive real commercial value. With a strong focus on employee growth, our collaborative work culture encourages innovation and learning, supported by comprehensive benefits including private healthcare, generous annual leave, and a competitive pension scheme. Located in London, this role offers a dynamic environment where your contributions will directly influence the company's success while enjoying the perks of city life.
Contact Details:
Trades Workforce Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Build High-Impact External Data Products
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and Google Cloud. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for the interview like it’s the big game! Research the company, understand their data products, and be ready to discuss how your experience aligns with their needs. Practice common data engineering questions and think about how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application in front of the right people. Plus, we’re always looking for passionate candidates who want to make a real impact in the data world.
We think you need these skills to ace Data Engineer: Build High-Impact External Data Products
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your solid Python and SQL skills in your application. We want to see real experience, so don’t just mention it—give examples of how you've built pipelines or done data analysis in the past.
Keep It Clean and Clear:When writing your application, focus on clarity and quality. Just like we expect clean code, we want to see a well-structured application that’s easy to read and understand. This shows us you care about governance and quality standards.
Be Agile and Adaptable:Since we work in an agile environment, let us know about your experience with tools like Jira and Confluence. Share how you’ve taken ownership of your tasks and collaborated with teams to deliver results on time.
Apply Through Our Website:Don’t forget to apply through our website! It’s the quickest way for us to get your application and start the conversation. If this role has caught your eye, don’t wait—send us your application today!
How to prepare for a job interview at Trades Workforce Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or performed data analysis. This is your chance to showcase your technical expertise, so have examples at the ready!
✨Familiarise Yourself with Google Cloud
Since this role involves working with Google Cloud, especially BigQuery, make sure you understand its functionalities. If you can, try to get hands-on experience or at least read up on best practices. Being able to speak confidently about your experience with cloud technologies will impress the interviewers.
✨Show Your Collaborative Spirit
This job requires collaboration with internal teams, so be prepared to discuss how you've worked with others in the past. Think of examples where you’ve tackled quality issues or contributed to team projects. Highlighting your teamwork skills will show that you're a good fit for their agile environment.
✨Demonstrate Your Willingness to Learn
The data landscape is always changing, and they want someone who’s eager to grow. Be ready to talk about how you keep your skills updated and any new technologies or methodologies you’re currently exploring. Showing enthusiasm for learning will set you apart from other candidates.
