Data Engineer (GCP + Python)- VOIS

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.

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.