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 Big Data Engineer to join our Data and Analytics (DNA) team on a 6-month contract basis. Based in Pune, Bangalore, or Ahmedabad, this role is pivotal in designing and maintaining scalable big data solutions that support efficient data processing and analytics. The ideal candidate will collaborate with cross-functional teams to build robust data pipelines and leverage big data technologies to drive data-driven decision-making across the organisation.

What You'll Do

Design, develop, and maintain scalable data pipelines for processing structured and unstructured data.
Build and optimise data storage solutions including distributed file systems, NoSQL databases, and data warehouses.
Utilise big data frameworks such as Apache Hadoop, Spark, Flink, and Kafka to develop data processing workflows.
Ensure high performance and scalability through parallel processing, distributed computing, and caching strategies.
Implement monitoring, alerting, and automated scaling mechanisms for big data systems.
Maintain data quality and governance by applying validation, cleansing, and enrichment processes.
Collaborate with data scientists, analysts, and engineers to align data solutions with business objectives.
Document system architecture and processes, and provide training and support to stakeholders.

Who You Are

Graduate or Postgraduate in Computer Science, Engineering, or a related technical field.
Over 5 years of experience in building cloud-based data engineering solutions.
Proficient in SQL and programming languages such as Python, Java, or Scala.
Hands-on experience with big data technologies including Apache Hadoop, Spark, Flink, and Kafka.
Familiar with cloud platforms such as AWS, GCP, or Azure.
Experienced in streaming tools like Amazon Kinesis, Apache Kafka, Flink, or Pulsar.
Strong understanding of distributed systems and database management principles.
Excellent communication and collaboration skills with a proactive approach to problem-solving.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Familiarity with ITIL practices and experience in large global organisations is desirable.

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 big data technologies and cloud platforms.
Exposure to large-scale data engineering projects within a global telecom environment.
Collaborative work culture with cross-functional teams.
Flexible work location options including Pune, Bangalore, and Ahmedabad.
Be part of a dynamic team driving innovation and digital transformation.

What Skills You Will Learn

Advanced big data processing using Apache Hadoop, Spark, Flink, and Kafka.
Cloud-based data engineering practices across AWS, GCP, or Azure.
Real-time data streaming and processing with tools like Kinesis and Pulsar.
Best practices in data governance, quality assurance, and system monitoring.
Cross-functional collaboration and agile delivery in a global enterprise environment.

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.

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