GCP Data Engineer - VOIS
Who we are
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
What you’ll do
Prepare Low Level Designs (LLDs) aligned with High Level Designs (HLDs) defined by project architects.
Build, deploy, and operationalise robust data processing systems based on approved designs.
Develop and optimise data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Airflow, and Looker.
Apply modern data pipeline patterns and creatively address product or platform limitations.
Act as a subject matter expert in GCP Data Engineering, supporting and mentoring junior team members.
Apply learnings from new technologies and practices to day‑to‑day delivery.
Lead small teams or projects end‑to‑end, from build through to closure, when required.
Contribute to organisational efficiency through process adoption, resource optimisation, and tooling improvements.
Actively contribute technical expertise to internal guilds and communities of practice.
Who you are
An experienced data engineering professional with strong SQL expertise.
Proficient in the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Looker, and related services.
Experienced with DBT, including model development, Jinja templating, and lineage generation.
Knowledgeable in Data Vault 2.0 concepts with hands‑on implementation experience on cloud data warehouses.
Bringing 6+ years of overall experience, with at least 2–4 years focused on GCP, DBT, and Data Vault 2.0.
Hold a relevant qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.
A Google Cloud Certified Professional Data Engineer certification is advantageous.
Collaborative, adaptable, and committed to quality, timely delivery, and policy adherence.
Not a perfect fit?
What's in it for you
Exposure to large‑scale, enterprise‑grade data platforms within a global organisation.
Opportunities to work on modern cloud data engineering solutions using industry‑leading tools.
A collaborative environment that values learning, knowledge sharing, and continuous improvement.
The chance to influence data engineering practices and contribute to technical communities and guilds.
What Skills you will learn
Advanced optimisation techniques for cloud‑native data platforms on GCP.
Practical application of Data Vault 2.0 at scale in enterprise environments.
Leadership and delivery skills through ownership of small teams or projects.
Enhanced collaboration and stakeholder engagement within complex technology programmes.
VOIS Equal Opportunity Employer Commitment
Join Us
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.
Alert
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LinkedIn: https://www.linkedin.com/company/vois/
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You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR