Job at a glance
Company Description Telefónica Tech  (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities. We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.
The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI (Adatis), Enterprise Applications (Incremental), Workplace Services and Cyber Security & Networking. Values:  Open, Trusted and Bold Trusted Partners: Microsoft:  Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE:  Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike:  part of our NextDefense Cyber Security Portfolio Fortinet:  Elite VIP Program – one of only 2 in the UK AWS:  Advanced Solution & Managed Service Provider Program Job Description Senior Data Analytics Engineer Purpose As part of the Telefonica Tech Data Office, the Senior Data Analytics Engineer is responsible for designing, building, and continuously improving analytics data products across the full platform lifecycle.
This role requires both soft skills and technical capability to translate business requirements into production-grade data models and reports, and ensures the business obtains value from the work delivered. As a senior member of the team, this role also carries responsibility for leading a small group of engineers — setting direction, growing capability, and fostering a culture of quality and collaboration.
Equally important is the ability to build trusted relationships with business stakeholders, communicate clearly across technical and non-technical audiences, and represent the data platform as a reliable partner to the wider organisation. Responsibilities Technical Delivery Design and build ingestion pipelines across a variety of sources using ADF and Databricks orchestration patterns. Build and optimise data transformations in Databricks, including fact/dimension modelling for data marts.
Implement metadata-driven engineering practices that use platform contracts and orchestration metadata to improve consistency, reusability, and scale. Partner with data product owners and reporting teams to evolve semantic models and ensure curated data aligns with reporting requirements. Support CI/CD delivery across environments, and participate in release hardening. Contribute to platform evolution by onboarding new sources, refining deployment templates/workflows, and mentoring engineers on engineering standards.
Designing and maintaining a business data ontology with canonical entities, relationships, and shared vocabulary. Stakeholder Engagement & Communication Effective partnership with business stakeholders is as important as technical delivery in this role. Build and maintain trusted relationships with business stakeholders, data product owners, and reporting teams — acting as a credible, approachable point of contact for data platform matters.
Translate ambiguous business problems into clear technical requirements, and communicate data solutions back in terms that non-technical audiences can understand and act on. Facilitate requirements-gathering conversations and workshops, asking the right questions to uncover underlying needs rather than surface-level requests. Proactively communicate progress, blockers, and delivery risks to stakeholders before they become issues — setting realistic expectations and following through on commitments.
Produce clear, audience-appropriate documentation and updates: from concise summaries to structured status reports. Represent the data engineering team in cross-functional forums, contribu