DATA ENGINEERING & ANALYTICS SPECIALIST -Pune

About this Role

We are seeking a Data Engineering & Analytics Specialist to design, develop, and operate scalable cloud-based data platforms and advanced analytics solutions that support cloud engineering, operations, and network intelligence functions.
This role focuses on building end-to-end data pipelines, enabling data-driven insights, and delivering actionable intelligence through modern visualisation and automation technologies. The individual will collaborate across global teams to translate complex business and technical requirements into impactful data solutions aligned with organisational objectives.

What you will do

• Engage with engineering and operations stakeholders to gather requirements and define effective data-driven solutions.
• Build, optimise, and maintain scalable cloud-native data pipelines and platforms.
• Develop and manage dashboards and reporting solutions using enterprise visualisation tools.
• Implement automation and advanced analytics using Python, APIs, and AI/ML frameworks.
• Manage cloud infrastructure, CI/CD pipelines, and production environments to ensure reliability and stability.
• Collaborate with cross-functional teams and global stakeholders to deliver high-quality data products.
• Drive innovation by identifying opportunities to enhance operational efficiency using data and analytics.
• Ensure compliance with security, governance, and operational standards.
• Support planning, budgeting, and timely delivery of solutions aligned to business needs.
• Escalate and resolve critical issues in collaboration with support and operations teams.

Who you are

• Experienced in cloud data engineering with hands-on knowledge of GCP, BigQuery, and data pipeline tools.
• Proficient in SQL (advanced), Python, and scripting for data processing and automation.
• Skilled in building visualisation dashboards using tools such as Tableau, Power BI, Grafana, or similar platforms.
• Familiar with ETL processes, data warehousing concepts, and database management systems.
• Knowledgeable in DevOps practices, CI/CD pipelines, Kubernetes, and cloud infrastructure management.
• Capable of applying data analysis techniques to derive actionable insights and support decision-making.
• Comfortable working in agile environments with global stakeholders and cross-functional teams.
• Familiar with machine learning concepts and data-driven automation approaches.
• Strong in communication, stakeholder engagement, and problem-solving within complex environments.

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

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 global cloud and data transformation initiatives.
• Exposure to cutting-edge technologies in data engineering, AI/ML, and analytics.
• Collaboration with diverse, international teams across Vodafone markets.
• Hands-on experience with large-scale data platforms and enterprise-level solutions.
• A role that enables contribution to strategic business outcomes through innovation and data insights.

What skills you will learn

• Advanced cloud data engineering and architecture design on GCP platforms.
• Development of scalable data pipelines and modern data lake solutions.
• Expertise in visualisation, reporting, and storytelling through data.
• Application of AI/ML techniques to solve business and operational challenges.
• DevOps practices, automation strategies, and infrastructure management in cloud 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 be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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