At a Glance
- Tasks: Build and maintain impactful data pipelines and warehousing solutions.
- Company: Join a global blue-chip company with a focus on data monetisation.
- Benefits: Enjoy a competitive salary, bonus, private healthcare, and 25 days annual leave plus your birthday off.
- Other info: Work in a dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact by transforming rich customer data into valuable insights.
- Qualifications: Experience in Python, SQL, and data engineering principles.
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.
Data Engineer (External Data Products) in London employer: Rec3 Global
Join a leading global blue chip company that values innovation and meaningful contributions in the field of data engineering. With a strong focus on employee growth, you will have access to extensive training opportunities and a collaborative work culture that encourages creativity and teamwork. Enjoy competitive benefits including a generous bonus structure, private healthcare, and a healthy work-life balance with flexible working arrangements in vibrant London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (External Data Products) in London
✨Tip Number 1
Network like a pro! Reach out to people 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 projects. This gives potential employers a taste of what you can do, especially with Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action!
✨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 Data Engineer (External Data Products) in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data engineering shine through. We want to see how much you care about turning raw data into valuable insights and how you can contribute to our mission.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, SQL, and any relevant projects you've worked on. We love seeing how your skills align with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your experience and skills. Remember, less is often more!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Rec3 Global
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've built and maintained data pipelines in the past. Having specific examples of your work will show that you can handle the responsibilities of the job.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous projects and how you overcame them. This role is about building something meaningful, so demonstrating your ability to tackle complex problems with innovative solutions will impress the interviewers.
✨Familiarise Yourself with Google Cloud
Since the platform is built on Google Cloud, it’s a good idea to have a basic understanding of its services and how they relate to data engineering. If you can, try to get hands-on experience or at least read up on best practices to show your enthusiasm for the technology.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This not only shows your interest but also helps you determine if this is the right fit for you.
