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Senior GCP Data Engineer - VOIS
Senior GCP Data Engineer - VOISConfidential • Pune, India
Senior GCP Data Engineer - VOIS

Senior GCP Data Engineer - VOIS

Confidential • Pune, India
4 days ago
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 highly skilled Senior GCP Data Engineer to design and implement enterprise-grade, mission-critical data platforms on Google Cloud. This role requires expertise in distributed systems, advanced data modelling, and optimisation of pipelines for petabyte-scale workloads. The individual will ensure resilient, secure, and cost-efficient solutions that enable advanced analytics and machine learning across the organisation.

What You Will Do

  • Architect and manage complex data ecosystems using GCP services (BigQuery, GCS, Dataflow, Dataproc, Composer, Pub / Sub, Cloud Functions, Cloud SQL, KMS).
  • Design advanced ETL / ELT frameworks for ingesting data from hundreds of sources, including unstructured data.
  • Implement robust data governance frameworks covering lineage, cataloguing, and compliance with GDPR / CCPA.
  • Optimise pipelines for extreme scale (billions of records daily) with performance tuning and cost control.
  • Lead cross-functional teams to build platforms supporting AI / ML models and predictive analytics.
  • Automate orchestration and monitoring using Airflow / Composer with advanced DAG design and fault-tolerant recovery.
  • Apply DevOps practices for data engineering, including CI / CD, infrastructure as code (Terraform), and automated testing.
  • Mentor junior engineers and establish best practices for coding standards, documentation, and peer reviews.

Who You Are

  • 8+ years of data engineering experience, with at least 5 years on GCP.
  • Expert-level proficiency in Python, Spark, and SQL with strong query optimisation skills.
  • Deep knowledge of distributed systems (Spark / Hadoop) and streaming platforms (Kafka, Pub / Sub).
  • Advanced data modelling for analytics, OLAP, and machine learning pipelines.
  • Hands-on experience with security and compliance : IAM, VPC, encryption, and audit logging.
  • Proven track record of building enterprise-scale data platforms (multi-region, high availability).
  • Strong background in cost optimisation for cloud workloads, including BigQuery partitioning and clustering strategies.
  • 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 cloud data engineering projects at enterprise scale.
  • Exposure to advanced GCP technologies and AI / ML-driven platforms.
  • Collaborative environment with global teams and cross-functional leadership opportunities.
  • Professional growth through mentoring and technical leadership roles.
  • What Skills You Will Learn

  • Advanced orchestration and automation techniques using Airflow / Composer.
  • Strategic cost optimisation and performance tuning for petabyte-scale workloads.
  • Implementation of data governance and compliance frameworks.
  • Leadership and mentoring skills in a high-impact technical 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 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
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  • Chat with our employees : Click here
  • Skills Required

    composer , Airflow, BigQuery, Hadoop, Kafka, Dataproc, Sql, Pub Sub, Kms, Gcp, Terraform, Spark, gcs , DataFlow, Python

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