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# Senior Data Engineer

- **Company:** Vodafone Limited
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Automation of Tests, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Control, Data Infrastructure, Data Sharing, Distributed Computing Environment, Python (Programming Language), Metadata, Operational Databases, Reliability Engineering, Cloud Services, Runbook, SQL Databases, Systems Integration, Google Cloud, Infrastructure Automation Frameworks, Software Version Control
- **Published:** November 9, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-engineer/55473182

## About the Role

Republic, Italy, Greece, and Portugal.#VOIS #BeUnrivalled #CreateTheFutureAbout this role:We design, build and operate the digital and technology capabilities that power Vodafone's next-generation products and services. We provide the cloud-native engineering foundations, reusable platform capabilities, APIs, integrations and secure digital services that enable rapid, scalable delivery across multiple customer journeys, propositions and markets. The team provides trusted data foundations, reusable platform capabilities, data products, insight and governed AI that enable scalable customer propositions and reliable operations across markets and partners. Our teams use AI-assisted engineering practices to improve delivery speed and quality while maintaining clear human accountability, security, privacy, traceability and production discipline. The Senior Data Engineer (Data Platform) designs, builds and operates reusable, production-grade platform capabilities. The role focuses on shared
ingestion, processing, storage, orchestration and serving services for authorised consumers. The role applies cross-domain architecture and platform standards, owns assigned services in production and coaches others without formal people-management or cross-domain architecture accountability Given the responsibilities outlined above, the role includes: Building and operating reusable platform pipelines and services. Owning production readiness for assigned components. Improving self-service, onboarding, reliability and cost efficiency. Coaching peers and contributing to platform design. What you'll doDesign, build, test and operate reusable batch, streaming and event-driven ingestion, processing and serving services using approved cloud capabilities. Develop maintainable Python, SQL and infrastructure code with automated tests, version control, continuous delivery and clear documentation. Implement shared contracts, schema controls, quality gates, metadata, lineage, privacy, residency and
access controls. Own monitoring, runbooks, incident response, resilience, recovery, performance, capacity and cost for assigned platform services. Develop reusable templates and self-service capabilities, resolve complex incidents and contribute to platform design, estimation and peer coachingWho you areCore competencies, knowledge and experience: Production Data Engineering - Strong delivery and operation of complex shared data services. Cloud Engineering - Strong Python, SQL, distributed processing and Google Cloud Platform or equivalent experience. Reliability Engineering - Strong use of CI/CD, testing, infrastructure as code, monitoring, incident management and recovery. Data Controls - Good knowledge of contracts, schemas, quality, metadata, lineage, privacy, security and multi-tenant access. Collaboration and Coaching - Ability to communicate trade-offs, review peer work and support other engineers. Must have technical / professional qualifications