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hackajob is partnering with Virgin Media O2 X giffgaff to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Reporting Into: Head of Data Engineering, Data Monetisation
Direct Reports: None
When Needed: Q1 2026
As a Senior Data Engineer, you will be part of a team responsible for 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 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.
The candidate will 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.
· 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
To be considered, you must have the following experience.
· Self-leadership to operate in ambiguous, fast paced environment
· Strong proficiency in Python and SQL with ability to write clean, maintainable and production ready code
· Familiarity with Jira, Confluence and Gitlab
· Strong understanding of data privacy and PII handling
· Extensive experience as a Data Engineer, with background in data analytics and AI/ML for the application of data modelling techniques
· Self-starter. Take ownership of projects from start to finish, collaborate with other internal teams and key stakeholders to ensure successful on-time delivery in an agile fashion
· Develop and maintain efficient data pipelines, ELT processes, and data warehousing solutions, ensuring the correct implementation of data lineage, data accessibility, privacy and security.
· Demonstrable expertise in Google Cloud to build scalable and secure end-to-end data solutions handling large volumes of data, utilising technologies such as: BigQuery, BQ Sharing (Analytics Hub), Cloud Functions and DBT Cloud.
We'd also love you to bring:
· 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
hackajob is partnering with Virgin Media O2 X giffgaff to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.