DATA ENGINEER - GCP & BIGQUERY - VOIS
Who we are
#VOIS #BeUnrivalled #CreateTheFuture
About this Role
What you’ll do
- Design, develop and optimise complex SQL and PL/SQL queries within Google BigQuery environments.
- Build, deploy and maintain cloud‑based data pipelines and services using GCP tools including Data Fusion, Cloud Functions, App Engine and Cloud Run.
- Collaborate closely with data engineers and analytics teams to process, store and transform large‑scale datasets using BigQuery and Cloud Storage.
- Apply best practices for performance optimisation, data security, reliability and scalability of cloud applications.
- Create unit tests, technical documentation and reusable components to ensure maintainable and high‑quality solutions.
- Troubleshoot and resolve issues across production environments, ensuring minimal service disruption.
- Support cloud‑native development initiatives aligned to enterprise data and analytics strategies.
Who you are
- You bring 5–9 years of relevant experience in data engineering or analytics engineering roles.
- You have strong hands‑on expertise in SQL and PL/SQL, with proven experience using Google BigQuery.
- You are familiar with GCP services such as Data Fusion, Cloud Storage and cloud‑native application components.
- You understand data warehousing concepts, database systems (SQL and NoSQL) and data processing frameworks.
- You are analytical, proactive and comfortable working in complex, large‑scale system environments.
- You communicate clearly in written and spoken English and collaborate effectively within diverse teams.
Not a perfect fit?
What's in it for you
- Exposure to large‑scale, global data platforms supporting Vodafone markets worldwide.
- Opportunities to work on modern cloud‑native data solutions using Google Cloud technologies.
- A collaborative, inclusive environment aligned to the Vodafone Way of working.
- Professional growth within a globally recognised technology organisation.
What skills you will learn
- Advanced optimisation techniques for BigQuery and large‑scale cloud data platforms.
- Hands‑on experience with enterprise‑grade GCP services and cloud‑native architectures.
- Best practices in data engineering governance, security and scalability.
- Stakeholder collaboration within complex, global delivery models.
VOIS Equal Opportunity Employer Commitment
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