At a Glance
- Tasks: Lead a team to create scalable data products using Python, SQL, and AI.
- Company: Join Virgin Media O2, a forward-thinking tech company focused on data monetisation.
- Benefits: Enjoy competitive pay, access to benefits, and a supportive work culture.
- Other info: Dynamic role with opportunities for professional growth and mentoring.
- Why this job: Make a real impact by driving innovation in data engineering and product development.
- Qualifications: Strong Python and SQL skills, with experience in leading remote engineering teams.
The predicted salary is between 80000 - 100000 € per year.
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe external data products that drive commercial value from complex data assets. This is a hands‑on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. The role is 60% leadership/strategy and 40% hands‑on working with Python, SQL, GCP, AI solutions.
As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products, operating within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi‑source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team’s delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team.
Key Responsibilities
- Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable.
- Lead the team’s agile process, facilitating stand‑ups, managing the backlog and setting roadmap priorities with senior stakeholders.
- Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth.
- Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance.
- Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities.
- Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes.
- Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle.
Qualifications
- Technical leadership of remote engineering teams.
- Strong Python and SQL skills; writes clean, maintainable, production‑grade code.
- Architecture ownership for complex, scalable data and ML/AI solutions.
- End‑to‑end data platform design (ingestion, modelling, analytics).
- Google Cloud (or equivalent) experience including BigQuery, Analytics Hub, Cloud Functions, dbt.
- Commercial mindset with evidence of data product adoption, cost and delivery awareness.
- Clear communicator across technical/non‑technical audiences, up to C‑suite.
- Experience building external‑facing SaaS or data products with partners.
- Working within data contracts, privacy and regulatory constraints.
- Effective delivery in ambiguous, fast‑paced environments (Agile, Jira, Confluence).
- Coaching engineers with strong hands‑on Python and SQL capability.
Nice to Have
- Built new products from scratch (greenfield over legacy).
- Worked with sensitive data in regulated industries (e.g., telco).
- Experience with data cleanrooms (Google, Snowflake or equivalent).
Benefits
Access to the company benefits portal via the main intranet site.
Equal Opportunities
Virgin Media O2 is an equal opportunities employer and we’re working hard to remove bias and barriers for our people and candidates. We support and encourage you to be your authentic self throughout your application journey with us.
Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI) in Peterborough employer: Virgin Media O2
At Virgin Media O2, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Data Engineering, you'll not only lead a talented team in a cutting-edge environment but also benefit from our commitment to professional growth, diversity, and inclusion. With locations in vibrant cities like Birmingham, London, Peterborough, and Reading, you will enjoy access to a wealth of resources and opportunities while contributing to impactful data products that drive commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI) in Peterborough
✨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 showcasing your projects, especially those involving Python, SQL, and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with data engineering and AI solutions in detail.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI) in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Head of Data Engineering role. Highlight your hands-on experience with Python, SQL, and cloud technologies, as well as any leadership roles you've held.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams, developed data products, or driven innovation in previous positions.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise. Mention your experience with Google Cloud, data governance, and any relevant AI solutions you've worked on. We want to see your hands-on capabilities!
Apply Through Our Website:For the best chance of success, make sure to apply through our website. This way, your application will go directly to us, and we can review it promptly. We can't wait to hear from you!
How to prepare for a job interview at Virgin Media O2
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Google Cloud skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them. This role is hands-on, so demonstrating your technical prowess is key!
✨Showcase Your Leadership Style
As a Head of Data Engineering, you'll be leading a team, so it's important to articulate your leadership philosophy. Think about examples where you've successfully mentored others or led a project. Be prepared to discuss how you manage agile processes and set priorities with stakeholders.
✨Understand the Business Impact
This role is all about driving commercial value from data. Familiarise yourself with how data products can impact business outcomes. Be ready to share insights on how you've aligned data strategies with business goals in previous roles, and how you plan to do this in the new position.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills and decision-making process. Think through potential challenges you might encounter in this role, such as data privacy issues or technology adoption, and how you would address them effectively.
