Overview

GCP Data Engineer - £400-£450 per day
Initial 6-month contract | Remote-first (occasional travel to Newcastle / 1 x a month)
Start date: ASAP | Outside IR35

Dcoded are partnering with a leading consultancy who are looking for a skilled GCP Data Engineer to join their team. This role offers the flexibility of working remotely, with the expectation of travelling to the North East around once a month.

The role

As a Data Engineer, you\'ll be responsible for designing, building, and maintaining modern, compliant, and scalable data solutions. You\'ll ensure seamless integration and movement of data across systems, working with cloud-based architectures and a wide range of tools including BigQuery, PostgreSQL, Python, and Kafka.

You\'ll play a key role in enabling high-quality data pipelines, improving data lineage, and translating business needs into technical solutions that deliver real insights.

Key responsibilities

• Lead by example in delivering reliable, efficient, and compliant data solutions
• Integrate, consolidate, and transmit data while maintaining high quality standards
• Design and deliver solutions that support business needs
• Build and maintain data services with tools such as BigQuery, PostgreSQL, Python, and Kafka
• Develop and enhance data pipelines in cloud-based environments, applying software engineering best practices
• Own complex feature development and act as a voice for best practice within the team
• Collaborate with senior stakeholders, translating business requirements into technical outcomes
• Drive continuous improvement in data lineage and quality

Essential experience

• Strong SQL querying and development expertise
• Experience with relational SQL and/or analytics databases (Postgres, Cassandra, BigQuery)
• Proven background in designing, developing, and deploying modern data solutions using best practice software engineering principles
• Solid understanding of data modelling, ETL processes, data warehousing, and both structured & unstructured data
• Confident working with cloud-based technologies and deployment infrastructure
• Awareness of how Data Engineering and Data Analysis fit within broader Data Science and BI workflows
• Excellent problem-solving, analytical, and decision-making skills