GCP Data Engineer - VOIS

What You Will Do

Design, develop and maintain ETL and ELT pipelines that ingest, transform and load large datasets from multiple sources into GCP data platforms

Develop data solutions using BigQuery, Cloud Storage, Cloud Composer, Dataflow, Pub/Sub and Cloud Functions

Optimise data pipelines to improve performance, reliability and scalability

Develop and manage data models, schemas and storage solutions aligned with GCP good practices

Build effective and scalable Python code and data-processing scripts

Automate data workflows and scheduled processes using appropriate orchestration tools.Implement data validation, cleansing and quality controls to maintain data accuracy and integrity

Monitor data pipelines, identify issues and support the timely delivery of data.Optimise BigQuery performance and manage storage and processing costs

Develop and maintain Kafka streaming integrations using the Python SDK.Build and integrate back-end components that improve application responsiveness and performance

Collaborate with data scientists, analysts and business stakeholders to define and deliver data requirements

Coordinate with internal teams and external partners to support effective project delivery

Apply a detail-focused and solution-oriented approach while considering wider business objectives

Who You Are

You have strong practical experience with Python, including the development and deployment of data-processing scripts

You have hands-on expertise in Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Functions, Cloud Composer and Pub/Sub

You have experience designing, developing and maintaining ETL or ELT data pipelines.You are proficient in SQL for querying, transforming and processing data

You understand data modelling, schemas, data storage and data quality principles

You are familiar with workflow orchestration tools such as Apache Airflow

You have knowledge of version control systems such as Git

You have experience with, or knowledge of, Kafka-based streaming solutions and Python SDK integrations

Familiarity with Teradata and PowerDesigner would be beneficial

You communicate clearly in writing and in conversation, including when working with clients and business stakeholders

You collaborate effectively across technical and non-technical teams

You can understand current and future business objectives and translate them into effective technology solutions

You demonstrate sound judgement, ownership and a collaborative approach to project delivery

Not a Perfect Fit?

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.

What’s In It For You

The opportunity to work with modern GCP data services and cloud-native data architectures

Exposure to large-scale data engineering projects with a direct impact on business outcomes

Collaboration with data scientists, analysts, business stakeholders and external technology partners

Opportunities to solve complex data challenges and improve the performance, reliability and scalability of data platforms

Experience working across batch processing, workflow automation and real-time streaming solutions

The opportunity to contribute to data quality, platform efficiency and cost optimisation initiatives

What Skills You Will Learn

Advanced development and optimisation of ETL and ELT pipelines on Google Cloud Platform

Cloud-based data processing using BigQuery, Cloud Storage, Dataflow, Cloud Composer, Pub/Sub and Cloud Functions

Workflow orchestration and automation using Apache Airflow and related technologies

Data pipeline monitoring, validation, cleansing and quality management

BigQuery query optimisation and cloud storage cost management

Kafka streaming deployment and integration using Python

Cross-functional collaboration and the translation of business requirements into scalable data solutions

VOIS