Data Engineer - GCP & Big Query

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.
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About this Role

We are seeking a skilled Data Engineer with hands-on experience in Google Cloud Platform (GCP), BigQuery, Datafusion, and SQL/PLSQL to join our Data & Analytics team supporting the Nucleus Portugal project. This permanent role is based in Pune, Bangalore, or Ahmedabad and involves designing, developing, and maintaining cloud-native data solutions. The ideal candidate will have 4–5 years of experience in data engineering and a strong understanding of data warehousing concepts and GCP components.

What you’ll do

• Develop and optimise SQL and PL/SQL queries within GCP BigQuery.
• Build and maintain infrastructure using GCP services such as Cloud Functions, App Engine, and Cloud Run.
• Collaborate with data engineers to process large datasets using GCP tools including BigQuery and Cloud Storage.
• Ensure performance, security, and scalability best practices across cloud applications.
• Write unit tests and maintain documentation to support code quality and maintainability.
• Troubleshoot and debug cloud-based applications in production environments.
• Apply cloud-native development principles and data processing frameworks.
• Contribute to agile development practices including SCRUM and SAFe methodologies.

Who you are

• A graduate or postgraduate in a technical stream (preferably Engineering).
• Minimum 4–5 years of relevant experience in data engineering.
• Proficient in SQL, PL/SQL, GCP BigQuery, Datafusion, and Python.
• Familiar with data warehousing concepts and GCP components.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication skills in English (written and verbal).
• Able to work collaboratively in a team and respond proactively to risks and issues.
• Demonstrates behaviours aligned with the Vodafone Way: Speed, Simplicity, Trust, Innovation Hungry, Customer Obsessed, Ambitious & Competitive, Company Local Roots.

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 a strategic global project (Nucleus Portugal).
• Exposure to cutting-edge cloud technologies and large-scale data processing.
• Collaborative work environment with cross-functional teams.
• Experience in agile methodologies and cloud-native development.
• Career growth within a global organisation committed to innovation and transformation.

What skills you will learn

• Advanced GCP architecture and services including BigQuery, Datafusion, and Cloud Run.
• Agile development practices and methodologies.
• Scalable cloud application design and performance optimisation.
• End-to-end data engineering lifecycle in a global shared services environment.
• Cross-functional collaboration and stakeholder engagement.

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 truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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• Graduate or postgraduate in a technical stream (preferably Engineering)
• Minimum 4–5 years of relevant experience in data engineering
• Proficient in SQL, PL/SQL, GCP BigQuery, Datafusion, and Python
• Familiar with data warehousing concepts and GCP components
• Strong analytical, debugging, and problem-solving skills
• Excellent communication skills in English (written and verbal)
• Able to work collaboratively in a team and respond proactively to risks and issues
• Behaviours aligned with the Vodafone Way (Speed, Simplicity, Trust, etc.)
• Experience with agile methodologies (SCRUM, SAFe)
• Hands-on experience with GCP services such as Cloud Functions, App Engine, and Cloud Run