Senior Data Engineer

Senior Data Engineer (Contract) Key Details • Contract: Initial 6-month contract • Rate: Up to £500/day Inside IR35 • Location: Hybrid working, London • Start Date: July • Interview Process: 1-stage interview Senior Data Engineer We're partnering with a leading technology business that operates one of the largest consumer digital platforms in Europe. They're looking for an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and scaling modern data platforms that support millions of users globally. This is an opportunity to work on large-scale, cloud-native data solutions, collaborating with product, engineering and business stakeholders to deliver reliable, high-quality data products that drive commercial decision making. What You'll Be Doing • Design, build and maintain scalable data models and distributed ETL pipelines across large datasets. • Develop robust cloud-based data solutions using modern data engineering technologies. • Work closely with stakeholders to understand business challenges and translate them into technical data solutions. • Champion DataOps principles, engineering best practices and continuous improvement across the team. • Build high-performance data pipelines using technologies including Google BigQuery, Python, SQL and dbt. • Optimise data platforms for performance, scalability and reliability. • Support multiple Agile delivery teams, providing technical leadership and data engineering expertise. • Mentor junior engineers and contribute to raising engineering standards across the wider team. • Help shape the future architecture of the organisation's data platform, ensuring alignment with governance and engineering best practices. • Investigate and resolve production data issues, ensuring platform stability and operational excellence. Required Skills & Experience • Strong commercial experience as a Data Engineer or Senior Data Engineer. • Expertise designing and building large-scale ETL pipelines and data models. • Advanced SQL skills with experience working across large, complex datasets. • Strong Python development experience. • Hands-on experience with Google BigQuery. • Commercial experience using dbt for data transformation and pipeline development. • Experience building cloud-based data warehouse solutions. • Strong understanding of dimensional modelling and modern data architecture. • Experience working with CI/CD pipelines, testing practices and Agile development. • Ability to troubleshoot production issues and maintain highly available data platforms. • Excellent communication skills with the ability to work across technical and non-technical stakeholders. Desirable Experience • Snowflake • Apache Iceberg • Lakehouse architecture • Customer or commerce data platforms • Third-party data integrations • Behaviour-Driven Development (BDD) • AI/ML exposure or experience applying AI within data engineering workflows If you're an experienced Data Engineer looking to work on large-scale data platforms in a fast-paced engineering environment, we'd love to hear from you.