We are hiring a Senior Data Engineer to join our Data Monetisation team. This is a key role responsible for building scalable, privacy-safe data products that drive commercial value from complex data assets.

It is essential to hold experience in building commercial data products in a fast paced environment. We also need strong technical skills in Python, SQL, GCP, API's and AI application.

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 design and implement the necessary data architectures, lead the development of large scale data pipelines and build intuitive data access and collaboration tools via a range of solutions including APIs, dashboards, chatbots and portals.

You will also be capable of successfully navigating the inherent complexity and ambiguity associated with an early stage programme, to deliver robust and scalable data solutions.

Working primarily in the Google Cloud ecosystem and coordinating work across multiple engineers, ensuring the correct implementation of existing standards or setting new coding and data governance standards where needed.

Key Responsibilities

• Design and implement complex data architectures and large scale data pipelines, primarily within the Google Cloud ecosystem.
• Act as the key technical driver in the development of sophisticated customer traits and segments performing data modelling and behavioural analysis on the available datasets.
• Coordinate work across multiple engineers, ensuring compliance with existing standards or setting new coding and data governance standards where needed.
• Take ownership of the creation of valuable customer traits and segments definitions by applying analytical and modelling techniques on the rich range of datasets held across VMO2. These often rely on complex, multi-source criteria combining signals from sources across different platforms.
• Proactively engineer solutions around data limitations and address data quality challenges where content reliability is low in order to uncover additional insights into user behaviour trends

Who we are

The UK’s fastest broadband network. The nation’s best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we’re building a more connected future for everyone.

Our ways of working

We’re a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person.

That doesn’t just mean time in the office, it could be team meetings, offsites, volunteering days, cross-functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts.

Accessible, inclusive and equitable for all

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

• Self-led operator in ambiguous, fast-paced environments
• Strong Python and SQL skills; writes clean, maintainable, production-grade code
• Practical experience with Jira, Confluence and GitLab
• External data collaboration and profiling/segmentation
• Strong understanding of data privacy and PII handling
• Extensive data engineering experience with exposure to analytics and AI/ML-driven data modelling
• End-to-end ownership of delivery, collaborating with teams and stakeholders in an agile setup
• Hands-on experience building and operating data pipelines, ELT and data warehouses with strong lineage, access, privacy and security
• Proven Google Cloud (or equivalent) expertise at scale, including BigQuery, Analytics Hub, Cloud Functions and dbt Cloud

The other stuff we are looking for

• Promoting a culture of continuous improvement, both in engineering and process
• Experience working with a broad range of data assets.
• Knowledge in the correct delivery of data for AI agents, Gen AI interfaces for easy consumption of data products
• Foster a positive and engaging team culture
• Exposure with data cleanrooms or collaborative data solutions

What's in it for you

Our goal is to celebrate our people, their lives and everything in-between. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world.

Working at Virgin Media O2, you get a bumper reward package bursting with benefits, and loads of extras you can add if you’d like to. These are designed to support both you and your loved ones, making sure that you’re covered no matter what life throws your way.

Next steps

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.

When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you.

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.