Manager_Data Engineer (GCP + Python)

The Data Engineer will design, develop, and maintain data solutions leveraging Google Cloud Platform (GCP) and Python. This role is critical for building scalable data pipelines, optimising performance, and ensuring data integrity across multiple systems. The individual will collaborate with cross-functional teams to deliver high-quality data products that support business decisions.

• A collaborative professional with strong problem-solving skills and attention to detail.
• Comfortable working in dynamic environments and adapting to evolving business needs.
• Passionate about data engineering and committed to delivering reliable, efficient solutions.

• Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load large datasets into GCP-based platforms (e.g., BigQuery, Cloud Storage).
• Optimise data pipelines for performance, reliability, and scalability.
• Develop and manage data models, schemas, and storage solutions aligned with best practices.
• Leverage GCP services such as Cloud Composer, Dataflow, Pub/Sub, and Cloud Functions to build automated workflows.
• Implement data validation, cleansing, and quality checks to maintain accuracy and integrity.
• Collaborate with data scientists, analysts, and business stakeholders to define and execute data requirements.
• Set up monitoring systems to track pipeline performance and ensure timely delivery.

• Proficiency in Python for building and deploying data processing scripts.
• Strong expertise in GCP services, especially BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, and Pub/Sub.
• Experience with SQL for querying and processing data.
• Familiarity with workflow orchestration tools like Apache Airflow.
• Knowledge of version control systems (e.g., Git).
• Excellent communication and stakeholder management skills.

• Advanced GCP features and emerging cloud technologies.
• Best practices for cost optimisation and performance tuning in cloud environments.
• Integration of streaming solutions like Kafka with Python SDK.
• Collaborative approaches to data-driven decision-making.

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.
Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.
Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

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Vodafone is a leading Telecommunications company in Europe and Africa, continuously investing in new technologies to improve lives globally. We pursue equality of opportunity and inclusion for all candidates through our employment policies and practices. Diversity and inclusivity are at the heart of our culture, and we do not tolerate any form of discrimination.

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