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DATA ENGINEER - GCP, PYTHON & BIGQUERY - VOIS

Yesterday 2026/08/27
Telecommunications
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Job description

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 are seeking a Data Engineer with strong expertise in GCP BigQuery, Data Fusion and SQL to design, build and support critical data platforms within our Data & Analytics Shared Services function. This role blends deep technical capability with collaborative delivery, focusing on developing scalable, secure and high-performing cloud-based data solutions that support enterprise analytics use cases.




What you’ll do
  • Design, develop and maintain data solutions using GCP services such as BigQuery, Data Fusion, Cloud Storage, Cloud Functions, App Engine and Cloud Run
  • Write, debug and optimise complex SQL and PL/SQL queries to process and analyse large-scale datasets
  • Collaborate with data engineers and stakeholders to process and manage large volumes of structured data
  • Ensure best practices are followed for performance, security, scalability and reliability of cloud-based data applications
  • Develop and maintain unit tests and technical documentation to ensure code quality and long-term maintainability
  • Troubleshoot and resolve issues in cloud-based data applications and services in production environments
  • Apply cloud-native development principles and modern data engineering practices
  • Contribute to continuous improvement initiatives within data warehousing and analytics platforms


Who you are
  • You have 7–10 years of relevant experience in data engineering or data warehousing roles
  • You demonstrate strong proficiency in SQL and PL/SQL, particularly within GCP BigQuery environments
  • You have hands-on experience with GCP services such as BigQuery and Data Fusion, with working knowledge of other GCP components
  • You understand data warehousing concepts, database systems (SQL and NoSQL) and data processing frameworks
  • You have exposure to Python for data processing or cloud-based development
  • You bring strong problem-solving, debugging and analytical skills
  • You communicate clearly and collaborate effectively within cross-functional teams
  • You hold a graduate or postgraduate degree in a technical discipline, preferably Engineering


Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.




What's in it for you
  • Opportunity to work on enterprise-scale data platforms using modern GCP technologies
  • Exposure to global analytics programmes and shared services delivery models
  • A collaborative environment that values process improvement, quality and innovation
  • The chance to influence data reliability, performance and analytics outcomes


What skills you will learn
  • Advanced optimisation techniques for BigQuery and cloud-native data platforms
  • Deeper hands-on experience with GCP services and cloud-based data architectures
  • Stronger understanding of end-to-end data warehousing and analytics enablement
  • Enhanced collaboration and delivery skills within global, multi-stakeholder teams


VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.




Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.




Alert

Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.” #JDEnhancedByTARA




Follow us on social media and #StayConnected
  • LinkedIn: https://www.linkedin.com/company/vois/
  • Facebook: https://www.facebook.com/voisglobal
  • Instagram: https://www.instagram.com/voisglobal/
  • You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2



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