GCP Senior Data Engineer
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 will do
- Translate high‑level design (HLD) into detailed low‑level design (LLD) documents for project delivery.
- Build, optimise, and operationalise data processing systems aligned with approved design specifications.
- Use GCP technologies such as BigQuery, Airflow, DataFlow, DataProc, Looker, and other relevant components to deliver scalable data solutions.
- Apply cloud data pipeline design patterns, identifying innovative approaches to overcome platform limitations.
- Act as a subject matter expert by enabling junior colleagues through knowledge transfer and collaboration.
- Lead small teams or project workstreams from build to closure when required.
- Contribute to organisational improvement initiatives including process optimisation, tool adoption, and quality enhancement.
- Support technical guilds by sharing expertise and promoting engineering excellence.
Who you are
- Skilled in SQL with experience designing and delivering complex data solutions.
- Experienced in GCP data engineering components including BigQuery, DataFlow, Looker, and DataProc.
- Proficient in DBT, data modelling, Jinja templating, and lineage generation.
- Knowledgeable in Data Vault 2.0 principles and implementation on cloud platforms.
- Brings over 6 years of overall experience, including 2–4 years relevant to GCP, DBT, and Data Vault 2.0.
- Holds a degree in B.E./B.Tech, BCA/MCA or BSc/MSc in Computer Science or a related field.
- Preferably certified as a Google Cloud Professional Data Engineer.
- Demonstrates curiosity, a continuous learning mindset, and the ability to approach problems with creativity.
Not a Perfect Fit?
What’s in it for you
- Opportunities to work with cutting‑edge GCP technologies and modern data engineering frameworks.
- Exposure to cloud‑native data architecture practices and scalable data models.
- A collaborative and supportive environment that values continuous improvement and innovation.
- The chance to contribute to organisational and guild‑level technical advancements.
What skills you will learn
- Advanced cloud data engineering practices using the GCP ecosystem.
- Hands‑on implementation of Data Vault 2.0 in cloud environments.
- Pipeline orchestration and optimisation using Airflow and DBT.
- Enhanced documentation, solution design, and problem‑solving skills.
- Leadership and mentoring capabilities through cross‑team collaboration.
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.
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