Data Engineer

GCP Data Engineer - £400-£450 per day Initial 6-month contract | Remote-first (occasional travel to Newcastle Upon Tyne / 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