Senior Data & Analytics Engineer (VOIS)

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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.

Role purpose:

The Senior Data & Analytics Engineer role focuses on creating engineering & analytics according to data scope for our home product portfolio, serving millions of homes across Europe. As a key member of our data team, you will be responsible for implementing reporting pipelines and integrating them with cross-product analytics to inform strategic decision-making processes. The role offers an exciting opportunity to work with large and complex datasets, develop innovative analytics solutions using industry best analytics services and practices and contribute to the success of our products in the market.
Also, to design, build, and maintain scalable, end-to-end data engineering and analytics solutions that deliver actionable insights, support strategic decision making, and drive continuous improvement across Vodafone’s Home Technology and Products portfolio.
As the candidate gains knowledge and experience, the position will evolve into an end-to-end analytics architect role, where you will play a pivotal role in designing and implementing comprehensive analytics solutions across the organization.

Key accountabilities and decision ownership:

1. Design and implement cloud-based reporting pipelines leveraging AWS and GCP services, ensuring scalable, efficient, and cost-effective data processing and analytics solutions.
2. Develop and maintain robust ETL/ELT workflows to ingest, transform, and optimize structured and unstructured data, enabling seamless integration with analytics and BI platforms.
3. Ensure data quality and reliability by implementing automated testing frameworks, data validation processes, and monitoring systems to proactively identify and resolve data inconsistencies.
4. Provide technical leadership and mentorship to junior data engineers, BI developers, and analysts; foster best practices and continuous learning within agile delivery teams.
5. Develop and deploy interactive dashboards and reports (Tableau, Power BI) that deliver clear, actionable insights to executive and operational teams. Establish automated data quality, validation, testing, and monitoring frameworks to ensure data accuracy, reliability, and performance.

Core competencies, knowledge and experience:

1. Mastery of SQL, with a proven track record of utilizing advanced features and optimizations, coupled with hands- on experience in GCP BigQuery, enabling efficient data querying and manipulation.
2. Robust expertise in a wide range of data-related technologies(AWS Colud tools ), encompassing sophisticated data analytics techniques, comprehensive data warehousing strategies, and cutting-edge business intelligence solutions, ensuring a comprehensive understanding of the data landscape.
3. Proficiency in crafting insightful reports and intuitive dashboards tailored to diverse business needs, showcasing the ability to distill complex data into actionable insights that drive strategic decision-making.
4. Adept at identifying and resolving database and data process issues through systematic troubleshooting methodologies, ensuring data integrity and operational continuity across various systems and processes.
5. Demonstrated proficiency in leveraging data visualization tools, particularly Tableau, to create compelling and impactful visual representations of data, enhancing communication and understanding of key insights among stakeholders.

Must have technical / professional qualifications:

• Bachelor's degree in a quantitative subject (e.g., computer science, mathematics, engineering) (Must work in SW environment )
• 4+ years' experience as a Data Analyst or Engineer
• Hands-on expertise with cloud platforms (GCP BigQuery, AWS Cloud tools ), ETL/ELT tools, and BI visualization software(Tableau is must).
• Hands on experience with all aspects of software development including gathering requirements, analysis, design, dimension building, data loading, optimization and front end development
• Solid understanding of Management reporting requirements, cross functional KPIs and regulatory reports