DATA ENGINEER

Aggregate function:  Shared Services
Business Area:  Technology _VOIS
Posting Country:  India
Date Posted:  15 Jan 2026
Full Time / Part Time:  Full Time
Contract Type:  Permanent

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.

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 to design, build, and maintain scalable data infrastructure and pipelines that enable analytics, reporting, and machine learning. This role focuses on transforming raw data into structured formats, ensuring data quality, and providing efficient access for business users and data scientists.

What you’ll do

  • Develop and maintain ETL/ELT pipelines for data ingestion and transformation.
  • Design and manage data warehouses, lakes, and distributed systems (e.g., BigQuery, Dataplex).
  • Conduct data discovery and source system analysis to ensure data is fit for purpose.
  • Implement data validation, cleansing, and transformation processes.
  • Collaborate with stakeholders (BI, CVM, Marketing, Sales, Tech) to gather requirements and deliver solutions.
  • Optimise data workflows for performance and cost efficiency.
  • Support deployment of machine learning models into production environments.
  • Ensure data security and governance compliance.
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Who you are

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field.
  • 3–4 years of experience in data engineering or related roles.
  • Strong proficiency in SQL, Python, and data modelling.
  • Experience with cloud platforms (GCP, AWS, Azure) and tools like Cloud Composer, Dataflow, Dataproc.
  • Familiarity with distributed computing frameworks (e.g., Apache Beam, Spark).
  • Knowledge of CI/CD tools (Jenkins, Git, Jira, Confluence).
  • Understanding of data warehousing concepts and performance tuning.
  • GCP certification or similar is a plus.

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 cutting-edge data engineering projects in a global organisation.
  • Exposure to advanced cloud technologies and distributed systems.
  • Collaborative work environment with cross-functional teams.
  • Career growth and learning opportunities in data and analytics.

What skills you will learn

  • Advanced cloud-based data engineering practices.
  • Performance optimisation for large-scale data workflows.
  • Hands-on experience with machine learning deployment.
  • Data governance and security compliance in enterprise environments.

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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Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.