Cloud Data Engineer — ETL, Python & GCP

The Graduate Project; Cardiff; On-site; GBP 55,000 - 75,000; Full time

Job summary

The Graduate Project in Cardiff is seeking an experienced Data Engineer to join a high-performing technical team in a pivotal public sector digital transformation programme. You will design, build, and maintain cloud-based data solutions supporting data-driven decision making.

Working in an Agile environment, you’ll help develop scalable data platforms, optimise data pipelines, and contribute to robust, secure data products while collaborating with stakeholders across the business.

Qualifications

• Strong experience designing scalable cloud-based data solutions.
• Experience with cloud data platforms, ideally Google Cloud Platform (GCP).
• Solid knowledge of data modelling and data warehousing concepts.

Responsibilities

• Design, develop and maintain scalable cloud-based data solutions
• Build and optimise ETL and ELT pipelines
• Support migration of data services to cloud environments
• Develop and maintain data products for reporting and analytics
• Implement CI/CD processes and engineering best practices
• Monitor, troubleshoot and improve data platform performance
• Collaborate with stakeholders to gather requirements and deliver solutions
• Ensure data quality, governance, and security standards
• Contribute to data architecture, documentation, and improvements
• Collaborate within multidisciplinary Agile delivery teams

Skills

Python

SQL

Data pipelines

Cloud platforms (GCP)

Databases

Git

Data modelling

Big data

Workflow orchestration

Agile delivery

Stakeholder comms

Tools

Git

Docker

BigQuery

Spark

Dataproc

Job description

The Graduate Project in Cardiff is seeking an experienced Data Engineer to join a high-performing technical team in a pivotal public sector digital transformation programme. You will design, build, and maintain cloud-based data solutions supporting data-driven decision making.

Working in an Agile environment, you’ll help develop scalable data platforms, optimise data pipelines, and contribute to robust, secure data products while collaborating with stakeholders across the business.