I''m working with a world-class, product-led technology company in Edinburgh to help them find a Data Engineer to join their growing team (hybrid working, typically 1-2 days in the office). This is an opportunity to join a business operating at serious scale, building data systems that power products used by millions of customers. You''ll be joining a high-performing data engineering team where data is central to how the organisation makes decisions. The team is responsible for building and maintaining both batch and streaming pipelines that support analytics, machine learning and key business reporting. It''s a fully hands-on role in a modern, cloud-first environment, working on scalable, production-grade data solutions. As a Data Engineer, you''ll design, develop and maintain reliable data pipelines and infrastructure, with a strong focus on data quality, performance and clean engineering standards. You''ll collaborate closely with analysts, data scientists and fellow engineers to deliver high-quality, consumable datasets while contributing to best practices across the wider platform. You''ll be working heavily with Python, SQL and Spark, using tools such as Databricks, Airflow, dbt and Kafka within AWS. Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing, dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are ..... full job details .....