At a Glance
- Tasks: Lead a team to create innovative data products using Python, SQL, and AI.
- Company: Join Virgin Media O₂, a leader in connectivity and inclusivity.
- Benefits: Enjoy flexible working, competitive pay, and a supportive environment.
- Other info: Be part of a dynamic team focused on innovation and professional growth.
- Why this job: Make a real impact in data engineering while mentoring a talented team.
- Qualifications: Strong Python and SQL skills with experience in data product development.
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. This 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. This programme operates 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.
Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us.
The must haves- 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 incl. 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.
- 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).
If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview.
Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed.
Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI) employer: Virgin Media O₂
At Virgin Media O₂, we pride ourselves on being an inclusive employer that champions diversity and fosters a collaborative work culture. As the Head of Data Engineering, you'll not only lead a talented team in a dynamic environment but also benefit from our flexible-first approach, extensive professional development opportunities, and a commitment to equity and inclusion. Join us in shaping the future of data monetisation while enjoying a supportive atmosphere that values your authentic self.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Virgin Media O₂. Use LinkedIn to connect and engage with their posts. A friendly chat can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your Python and SQL projects, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data engineering principles, especially around cloud solutions and data privacy. Being able to discuss these topics confidently will impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Virgin Media O₂ family. Let’s get you that interview!
We think you need these skills to ace Head of Data Engineering - Data Monetisation (Hands on Python, SQL, Cloud, AI)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Python, SQL, and cloud technologies in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that align with the responsibilities of leading a data engineering team and building scalable data products.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate clarity just as much as technical prowess!
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. Plus, it makes the whole process smoother for everyone involved.
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, especially in building scalable data products. The more hands-on examples you can provide, the better!
✨Showcase Your Leadership Style
As this role involves leading a team, be prepared to talk about your leadership approach. Share experiences where you've mentored others or led agile processes. Highlight how you foster collaboration and drive high standards within your team.
✨Understand the Business Impact
Demonstrate your commercial mindset by discussing how your technical decisions have driven business value in past roles. Be ready to explain how you've aligned data products with customer needs and business outcomes.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in ambiguous situations. Think of examples where you've had to make quick decisions or adapt to changing priorities, especially in fast-paced environments. This will show your ability to thrive under pressure.
