Scala Data Engineer - VOIS

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
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

We are seeking a Data Engineer to design, build, and maintain scalable and reliable data pipelines that enable high‑quality analytics and data consumption across the organisation. This role focuses on developing efficient ETL/ELT solutions using Scala, SQL, and Apache Spark, working with cloud data platforms on Google Cloud Platform (GCP) and supporting workloads on OCI. The individual will collaborate closely with analytics, data science, and product teams to ensure data reliability, performance, and availability at scale.

• Build, maintain, and optimise scalable and reliable data pipelines for analytics and downstream data consumption.
• Design and develop ETL/ELT processes using Scala, SQL, and Apache Spark for large‑scale data processing.
• Work with distributed systems and big data technologies to process high‑volume datasets efficiently.
• Leverage cloud‑native data services on GCP and support workloads on OCI where required.
• Ensure data quality, performance, availability, and reliability across all data pipelines.
• Collaborate with analytics, data science, and product teams to deliver clean, well‑structured, and consumable datasets.

• 4 to 6yrs experienced data engineering professional with strong hands‑on exposure to big data processing.
• Skilled in distributed data processing frameworks with a solid understanding of performance optimisation.
• Experienced in designing robust, scalable, and maintainable data architectures.
• Proficient in Scala programming and advanced SQL for complex data transformations and analytical queries.
• Hands‑on with Apache Spark and big data ecosystems, including Cassandra and Redis.
• Experienced with GCP services such as BigQuery, Cloud Composer, and Cloud Storage.
• Comfortable working in multi‑cloud environments, with exposure to OCI considered an advantage.
• A collaborative communicator with strong problem‑solving skills and a focus on data quality and reliability.
• German language proficiency is desirable.

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

• Opportunities to work on large‑scale, cloud‑based data platforms with global impact.
• Exposure to complex data engineering challenges across multi‑cloud environments.
• Collaboration with diverse, cross‑functional teams across analytics, data science, and product domains.
• A supportive environment that values learning, inclusion, and continuous improvement.

• Advanced optimisation techniques for distributed data processing at scale.
• Deeper expertise in GCP data services and exposure to OCI cloud capabilities.
• Best practices for building reliable, high‑quality data pipelines in enterprise environments.
• Enhanced collaboration skills through close work with analytics and product stakeholders.

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio‑economic background.

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
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 truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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