Data Engineer

Data Engineer | Azure | Databricks | Lakehouse We’re looking for a Data Engineer to join a high-performing data function, playing a key role in building and scaling a modern Azure-based data platform. This is an opportunity to work on a Databricks lakehouse environment, delivering robust, scalable pipelines that power critical analytics and business insights. 💡 The Role You’ll be responsible for designing, building, and maintaining end-to-end data pipelines, taking data from source systems through to curated datasets ready for reporting and analytics. Working closely with architecture and delivery teams, you’ll help shape a high-quality, governed, and observable data platform 🔧 What You’ll Be Doing * Build and maintain Azure & Databricks pipelines * Develop scalable ELT processes using PySpark * Implement data quality, lineage, and security controls * Own CI/CD pipelines and Infrastructure as Code (Terraform) * Ensure pipelines are testable, observable, and easy to troubleshoot * Optimise data services for performance and cost efficiency * Collaborate with stakeholders to translate requirements into data solutions * Contribute to Agile delivery with clear documentation and best practices 🧠 What We’re Looking For * Strong experience with Azure Data Platform & Databricks * Proven track record building scalable data pipelines * Hands-on with PySpark / Spark-based processing * Experience with Terraform & CI/CD pipelines * Solid understanding of data governance, quality, and lineage * Familiarity with Git-based workflows and DevOps practices * Strong communication skills and ability to work with cross-functional teams