Senior Data Engineer x2 days a week in their London office A market-leading SaaS company is seeking a Senior Data Engineer to join its product-aligned data team. Operating in a data-rich, highly regulated industry, this company provides enterprise clients with robust decision-support and analytics tools to help them make faster, smarter, and more accurate business decisions. The business has adopted a Lakehouse architecture, enhancing customer-facing analytics, and embedding data more deeply across all product lines. This is a key role in building out the reporting and visualisation layer, enabling real-time insight into platform performance, product usage, and end-to-end decisioning effectiveness. You'll join a cross-functional team working closely with Product, Analytics, Security, and Software Engineering to define, develop, and deliver impactful data products to both internal stakeholders and end customers. Responsibilities Design and implement scalable data pipelines using Databricks, Delta Lake, and Lakehouse architecture Build and maintain a customer-facing analytics layer, integrating with tools like PowerBI, Tableau, or Metabase Optimise ETL processes and data workflows for performance, reliability, and scalability Ensure systems are secure, privacy-compliant, and aligned with regulatory requirements (e.g., GDPR) Collaborate with cross-functional teams to understand business needs and deliver well-architected data solutions Lead by example through high-quality code, reviews, and mentoring of less experienced team members Drive platform improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms), including Virtual Networks and secure data infrastructure Experience with DevOps practices and infrastructure-as-code (Terraform preferred) Familiarity with data visualisation tools such as PowerBI, Tableau, or Metabase Experience designing data platforms that are stable, scalable, and privacy-conscious Strong communicator who can clearly explain technical concepts to non-technical stakeholders Comfortable working in collaborative, cross-functional environments with a focus on continuous improvement If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).