At a Glance
- Tasks: Lead a team to build a cutting-edge data platform and drive innovation.
- Company: Join a leading global blue-chip company with a focus on data monetisation.
- Benefits: Competitive salary, generous bonuses, healthcare, and flexible holiday options.
- Other info: Opportunity for significant career growth and to work with valuable datasets.
- Why this job: Shape the future of data engineering and make a real impact in a dynamic environment.
- Qualifications: Proven leadership in data engineering, full-stack experience, and Google Cloud expertise.
The predicted salary is between 100000 - 128000 € per year.
This isn't a data engineering job where you maintain someone else's mess. You're building the platform.
Our client sits on one of the most valuable datasets in the UK. Millions of customers. Rich behavioural signals. A complex, multi-source data ecosystem that most companies could only dream of.
The problem? That value doesn't unlock itself. Right now, they're building the infrastructure to turn raw data into high-value customer signals and commercial data products, and they need the right person to lead it.
As Head of Data Engineering, you'll own the architectural strategy, lead a team of four Product Data Engineers, and sit at the intersection of technical delivery and business outcomes. You'll report into the Director of Data Monetisation and work with stakeholders from engineers up to C-suite.
What You'll Own- Define the architecture - Own the technical strategy for a data product platform that's extensible, reusable, and built to last, not patched together as requirements evolve.
- Lead the team - Manage the agile process, run standups, own the backlog and roadmap, and mentor four Product Data Engineers to grow technically and professionally.
- Drive quality and governance - Set high standards across accuracy, platform SLAs, privacy, and data lineage, and make sure they hold throughout the entire data lifecycle.
- Push innovation - Evaluate and prototype new technologies and tooling. You'll have room to shape how the team works, not just what it builds.
- Deliver commercial value - Stay close to data consumers and paying customers to keep product development tied to outcomes that actually matter to the business.
- Proven technical leadership: You've led a team of engineers remotely, challenged architectural decisions, and driven the right practices for the team.
- Full-stack data experience at scale: Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack.
- Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates.
- Commercial mindset: You can demonstrate data product adoption and articulate the time and cost value of what you've built.
- External data product experience: You've built SaaS or data products for external partners, including data contracts, integrations, and privacy constraints.
- Agile fluency: Jira and Confluence are part of your daily life. You handle ambiguity well and thrive in fast-moving environments.
- Python and SQL coaching ability: You can develop engineers, not just write clean code yourself.
- Nice to have, but not required: Experience building new products from scratch rather than inheriting legacy systems.
- Sensitive datasets in regulated industries, especially telco.
- Data cleanrooms - Google, Snowflake or equivalent.
- Real architectural scope: Own the direction of a strategic data platform at one of the UK's largest telcos, not just execute someone else's vision.
- Interesting data at scale: UK-scale telco data. Complex signals. The kind of dataset that takes years to build.
- Commercial backing: Data monetisation is a growth priority. This team has real business support behind it.
- Strong benefits: 40% bonus long-term incentive plan after 3 years service, Bupa healthcare from day one, income protection, life assurance, birthday day off, and the option to buy or sell up to 5 days holiday.
Most data engineering roles ask you to maintain what's already there. This one asks you to build what comes next. If that's the kind of problem you want to spend your time on, apply now to find out more!
Head of Data Engineering employer: Rec3 Global Ltd
As the Head of Data Engineering at a leading global blue chip company in London, you'll be part of a dynamic work culture that prioritises innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to lead a talented team while shaping the future of data monetisation within one of the UK's largest telcos. The company offers an attractive benefits package, including a competitive salary, generous bonuses, and comprehensive health support, making it an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This is your chance to demonstrate your full-stack data experience and technical leadership in action.
✨Tip Number 3
Prepare for interviews by understanding the company’s data products and their commercial value. Be ready to discuss how you can drive innovation and deliver results that matter to the business.
✨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 about their job search!
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Data Engineering role. Highlight your technical leadership, full-stack data experience, and any relevant cloud technologies you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you the perfect fit for this role. Don't forget to mention your experience with agile methodologies and mentoring engineers.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to drive commercial value and innovation. We love numbers, so if you can quantify your impact, even better! This helps us understand the real-world results of your work.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Rec3 Global Ltd
✨Know Your Data Inside Out
Before the interview, dive deep into the company's data ecosystem. Understand their datasets, how they might be monetised, and think about innovative ways to leverage them. This will show your genuine interest and help you articulate your vision for the role.
✨Showcase Your Leadership Style
Prepare examples of how you've led teams in the past, especially in remote settings. Discuss your approach to mentoring engineers and managing agile processes. Highlight specific instances where your leadership directly contributed to successful project outcomes.
✨Demonstrate Technical Expertise
Brush up on your knowledge of Google Cloud tools like BigQuery and DBT Cloud. Be ready to discuss your experience with full-stack data solutions and how you've tackled architectural challenges. This is your chance to impress them with your technical prowess!
✨Connect with Business Outcomes
Think about how your previous projects have delivered commercial value. Be prepared to discuss how you've aligned data products with business goals and customer needs. This will illustrate your commercial mindset and ability to drive results that matter.
