Data Engineering Specialist - 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 build data pipelines on GCP using Databricks (Delta Lake and Unity Catalog) for orchestration, Dataproc for Spark execution, supporting both ETL/ELT and feature engineering workloads.
- Engineer declarative, modular, and reusable pipelines in Python, following configuration-as-code principles and CI/CD practices including Git-based promotion, testing, and deployment.
- Implement and maintain data quality and observability practices using validation frameworks, logging, metrics, and alerts.
- Optimise pipeline performance, reliability, and cost through techniques such as cluster sizing, auto-termination, Z-ordering, caching, and partitioning strategies.
- Apply robust error handling, parameterisation, and triggers within Cloud Data Fusion pipelines.
- Ensure operational excellence by maintaining monitoring, performance tuning, and continuous improvements across data products and workloads.
Who you are
- Strong expertise in Databricks on GCP including Delta Lake, notebooks/jobs, Unity Catalog, and cluster policies.
- Experienced in Cloud Data Fusion design, including pipeline management, error handling, and orchestration.
- Skilled in Dataproc Spark with experience building PySpark jobs, configuring ephemeral clusters, and handling initialisation actions.
- Proficient in Python for data engineering including packaging, unit testing, type hints, and linting.
- Strong SQL skills, specifically with BigQuery including performance tuning, partitioning, and clustering.
- Familiar with GCP services such as Cloud Storage, Pub/Sub, and Cloud Composer/Airflow.
- Holds a qualification such as B.E., B.Tech, BCA, MCA, BSc, or MSc in Computer Science or a related field.
Not a Perfect Fit?
What’s in it for you
- The opportunity to build and scale data solutions using leading GCP and Databricks technologies.
- Exposure to enterprise-level CI/CD, observability, and configuration-as-code practices.
- A collaborative environment where innovation, continuous learning, and technical excellence are encouraged.
- The chance to contribute to high-impact global data platforms.
What skills you will learn
- Advanced Databricks engineering practices including Unity Catalog governance and optimisation strategies.
- Modern data observability approaches, including automation of quality checks and monitoring dashboards.
- Scalable pipeline design patterns across GCP and hybrid orchestration layers.
- Enhanced Python engineering skills through best practices in testing, packaging, linting, and code automation.
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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Follow us on social media and #StayConnected
- LinkedIn: https://www.linkedin.com/company/vois/
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- Instagram: https://www.instagram.com/voisglobal/
- Chat with our employees: https://lnkd.in/dpkrcvR2