Senior Data Engineer

## Who we are:

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.

As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.

We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.

#VOIS #BeUnrivalled #CreateTheFuture

## About 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 do

• Design, 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 coaching

## Who you are

Core 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:

Substantial practical experience in Data Engineering or software engineering for production data services.

Strong Python and SQL and experience with ingestion, transformation and orchestration.

Production experience with BigQuery, Pub/Sub, Dataflow, Dataproc, Cloud Storage and Cloud Composer, or equivalent.

Experience with batch, streaming, event-driven and API integration patterns.

Practical use of AI-assisted engineering tools with appropriate review and security controls.

## Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

## Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.