Head of Data Engineering

Job Description

Head of Data Engineering - Data Monetisation

Global Blue Chip

London - 2 days a week

100k - 128k base 7200 car allowance 25% bonus benefits (10% matched pension private health family support more)

This isnt a data engineering job where you maintain someone elses mess. Youre 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 doesnt unlock itself. Right now theyre 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 youll own the architectural strategy lead a team of four Product Data Engineers and sit at the intersection of technical delivery and business outcomes. Youll report into the Director of Data Monetisation and work with stakeholders from engineers up to C-suite.

What Youll Own

• Define the architecture - Own the technical strategy for a data product platform thats 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. Youll 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.

What Theyre Looking For

• Proven technical leadership: Youve 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. Youve 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 youve built.
• External data product experience: Youve 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.

Bonus Experience

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

Why This Opportunity Is Worth Your Time

• Real architectural scope: Own the direction of a strategic data platform at one of the UKs largest telcos not just execute someone elses 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 incetive 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 whats already there. This one asks you to build what comes next. If thats the kind of problem you want to spend your time on apply now to find out more!