Python 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 will do
- Design and maintain ETL/ELT pipelines to ingest, transform, and load large datasets into GCP-based data platforms such as BigQuery and Cloud Storage.
- Develop and optimise scalable back-end components and modular Python code for data processing, workflow orchestration, API integrations, and automation.
- Build and operationalise semantic data layers to support standardised metrics and improved data accessibility.
- Utilise GCP services including Cloud Composer, Dataflow, Pub/Sub, and Cloud Functions to create automated and reliable workflows.
- Develop transformation workflows using Dataform, including SQLX transformations, automated tests, CI/CD integrations, and documentation.
- Collaborate with data scientists, analysts, and business partners to convert data needs into efficient technical solutions.
- Implement data quality checks to ensure accuracy, integrity, and performance in all data workflows.
- Integrate semantic layers into BI tools and leverage metadata and lineage tools for improved governance.
Who you are
- A proficient Python developer with hands‑on experience in building scalable data processing solutions.
- Skilled in GCP services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, and Cloud Composer.
- Experienced in semantic modelling, workflow orchestration, and Dataform‑based transformations.
- Knowledgeable in SQL, data validation techniques, API-driven microservices (Flask/FastAPI), and automation frameworks.
- A strong collaborator with excellent communication skills and the ability to work effectively with diverse teams.
- Focused, detail‑oriented, and driven to create reliable, high-performance data solutions.
Not a Perfect Fit?
What’s in it for you
- Opportunities to work on modern cloud-native data engineering projects with cutting-edge GCP services.
- Exposure to advanced semantic modelling, orchestration, and automation frameworks.
- Collaboration with experts across engineering, data science, and analytics teams.
- Ability to influence large-scale, high-impact data programmes within a global organisation.
- Continuous professional development through hands-on technical challenges.
What skills you will learn
- Advanced GCP data engineering including Dataflow, Pub/Sub, BigQuery, and Cloud Composer.
- Semantic layer development, ontology design, and metadata governance frameworks.
- Scalable Python engineering practices for complex data applications.
- Workflow automation using Dataform, Airflow, and CI/CD pipelines.
- Integration of data platforms with BI tools and microservices.
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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- LinkedIn: https://www.linkedin.com/company/vois/
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