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Design, develop, and optimise complex SQL queries, stored procedures, and functions.
Ensure data integrity, system reliability and database performance across platforms.
Collaborate with analysts and stakeholders to understand data requirements and deliver technical solutions.
Gather and document business requirements and translate them into robust technical specifications.
Design database schemas, tables, views, indexes, and architectural components that support analytics needs.
Implement database solutions and write efficient, maintainable SQL code.
Develop and maintain ETL pipelines, including ingestion and transformation processes.
Manage and optimise Google BigQuery workloads for both performance and cost efficiency.
Build dashboards, reports and analytical visualisations using SAP Analytics Cloud.
Support unit, integration and system testing activities, identifying and resolving defects promptly.
Prepare deployment packages and coordinate with DevOps and IT teams to deliver updates.
Provide ongoing production support, monitoring, troubleshooting and security maintenance.
Create and maintain thorough documentation for designs, processes and database artefacts.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
7–10 years of SQL development experience.
Demonstrated experience in GCP BigQuery and ETL development.
Exposure to SAP Analytics Cloud (preferred).
Strong analytical and problem‑solving abilities with attention to detail.
Effective communicator with the ability to collaborate across multidisciplinary teams.
Familiarity with SDLC, CI/CD and Agile delivery methodologies (preferred).
Opportunity to work on advanced data engineering, analytics and cloud technologies.
Exposure to enterprise-scale process mining and analytics transformation projects.
Collaboration with global teams and experienced technology professionals.
A role that enables continuous improvement, innovation, and professional growth
Advanced SQL optimisation and scalable database design.
End‑to‑end BigQuery ETL orchestration and performance tuning.
SAP Analytics Cloud story building and data connectivity.
Best practices in DevOps, Agile delivery and CI/CD pipelines.
Documentation, testing strategy, and data governance principles.
At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
LinkedIn: https://www.linkedin.com/company/vois/
Facebook: https://www.facebook.com/voisglobal
Instagram: https://www.instagram.com/voisglobal/
Chat with our employees: https://lnkd.in/dpkrcvR2.
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