Senior Data Engineer

Senior Data Engineer Location: London (Hybrid Working) Type: Contract Pay Rate: £350-£400 (Outside IR35) We're looking for a Senior Data Engineer to join a high-performing data team responsible for delivering scalable, reliable, and innovative data solutions that power analytics and decision-making across a global streaming and digital ecosystem. This is an opportunity to work with modern cloud technologies, large-scale datasets, and a collaborative engineering culture where you'll help shape the future of data platforms used by millions of customers worldwide. What You'll Be Doing • Design, build, and support scalable data models and distributed ETL pipelines using modern big data technologies. • Collaborate with stakeholders across multiple business functions to understand data challenges and translate requirements into robust technical solutions. • Champion DataOps principles, engineering best practices, and continuous improvement initiatives. • Develop and optimise data solutions using technologies such as Google BigQuery, Python, SQL, and DBT. • Lead by example through mentoring, coaching, and supporting fellow engineers. • Work closely within Agile delivery teams, providing technical expertise and ensuring successful project outcomes. • Promote platform best practices, data governance standards, and architectural consistency across multiple workstreams. • Support onboarding of new data sources and help improve data quality and integration processes. Essential Skills & Experience • Strong experience designing and building complex data models and large-scale data pipelines. • Advanced SQL skills with experience optimising and transforming large datasets. • Proven software and data engineering experience, including CI/CD practices and automated testing. • Experience delivering cloud-based data warehousing and ETL solutions. • Strong knowledge of Google Cloud Platform (GCP) and DBT (Data Build Tool). • Solid understanding of data modelling, analytics, and reporting architectures. • Experience troubleshooting and resolving data platform incidents. • Excellent communication and stakeholder management skills. • Degree in Computer Science, Software Engineering, or a related discipline. Desirable Skills • Experience with Snowflake, Apache Iceberg, and modern Lakehouse architectures. • Exposure to customer, commerce, or digital product datasets. • Experience integrating third-party vendor data and reporting feeds. • Knowledge of Behaviour-Driven Development (BDD). • Understanding of AI/ML concepts or practical application of AI within data engineering workflows.