At a Glance
- Tasks: Build and maintain impactful data pipelines and create valuable customer insights.
- Company: Join a global blue-chip company with rich customer data.
- Benefits: Competitive salary, 25% bonus, private healthcare, and extra holiday perks.
- Other info: Dynamic team environment with opportunities for rapid career growth.
- Why this job: Make a real impact by transforming raw data into high-value products.
- Qualifications: Solid Python and SQL skills, plus hands-on data engineering experience.
The predicted salary is between 46000 - 69000 € per year.
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 (External Data Products) in City of London employer: Rec3 Global Ltd
Join a leading global blue chip company as a Data Engineer, where you'll have the opportunity to work with some of the richest customer data in the UK. Enjoy a vibrant work culture that prioritises innovation and collaboration, alongside competitive benefits such as private healthcare, generous annual leave, and a strong pension plan. With a focus on employee growth and development, this role offers a unique chance to build impactful data products in a dynamic London environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (External Data Products) in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've built data pipelines. Show them you're not just about keeping the lights on, but about building something that matters!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! Be prepared to tackle some real-world scenarios during the interview. They want to see how you think and approach challenges, so let your analytical side shine.
✨Tip Number 4
Finally, apply through our website! It’s the quickest way to get your application seen. Plus, we love seeing candidates who take the initiative. So, don’t wait around – hit that apply button and let’s get you started!
We think you need these skills to ace Data Engineer (External Data Products) in City of London
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 say you know them—give us examples of how you've used them in your previous roles.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Remember, we’re looking for code that’s not just functional but also understandable!
Demonstrate Your Learning Mindset:We love candidates who are eager to learn! Share any experiences where you’ve adapted to new technologies or tackled challenges in the fast-paced data landscape. Show us that you’re ready to grow with us.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands quickly. Plus, we’ll be in touch within 48 hours if you catch our eye!
How to prepare for a job interview at Rec3 Global Ltd
✨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 hands-on experience, so have examples ready that demonstrate your technical prowess.
✨Understand the Company’s Data Landscape
Research the company’s data products and how they leverage customer insights. Familiarise yourself with Google Cloud services like BigQuery and Cloud Run, as well as any relevant tools like DBT Cloud. Showing that you understand their data environment will impress the interviewers and show your genuine interest in the role.
✨Be Agile and Adaptable
Since this role involves working in an agile environment, be prepared to discuss your experience with agile methodologies. Talk about how you've taken ownership of tasks, collaborated with teams, and delivered work on time. Highlighting your adaptability and willingness to learn will resonate well with the interviewers.
✨Prepare Questions That Matter
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about the team dynamics, the types of data challenges they face, or how they measure the success of their data products. This shows that you're not just interested in the job, but also in contributing to the team's success.
