Senior Data Engineer

Senior Data Engineer Location: London - Weekly / Bi Weekly Travel to Germany Sector: Events and Live Entertainment Work Type: Contract - 6 Months Inside IR35 The Client My client is a leading organisation within the events and live entertainment space, delivering large-scale live experiences to millions of customers each year. With a growing digital and data function, they are investing in a modern, cloud-first data platform to power commercial insight, audience analytics, operational reporting and real-time decision-making across venues and events. They are now seeking a Senior Data Engineer to play a key role in building and optimising their Google Cloud-based data platform. The Role As a Senior Data Engineer, you will design, build and optimise scalable data pipelines on Google Cloud Platform. You will take ownership of core data engineering patterns, evaluate and implement modern open-source frameworks, and help shape the evolution of the organisation’s cloud data architecture. This role requires a proactive, self-starter mindset with the ability to operate independently while collaborating closely with Data Modelling, Analytics and wider technology teams. Key Responsibilities • Design, build and maintain scalable ETL and ELT pipelines • Develop and optimise data processing workflows on Google Cloud Platform • Implement robust and scalable data ingestion frameworks • Work with structured and semi-structured data sources across multiple business domains • Collaborate closely with Data Modelling and Analytics teams to enable reliable downstream reporting and insight • Ensure data reliability through monitoring, observability and quality controls • Automate deployment processes and data workflows wherever possible • Contribute to tooling decisions, framework selection and data platform standards Required Experience • Strong experience designing and building ETL and ELT pipelines in production environments • Hands-on experience with GCP data services such as BigQuery, Cloud Storage, Dataflow or equivalent • Advanced SQL and strong data transformation capability • Experience with orchestration tools and automated pipeline scheduling • Experience working within modern data architectures including warehouse and lakehouse patterns • Demonstrated ownership mindset with strong problem-solving capability Desirable Experience • Exposure to Data Vault 2.0 modelling concepts • Experience optimising performance and cost within BigQuery • Experience evaluating and implementing open-source data engineering frameworks • Experience implementing CI/CD for data pipelines