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 Py Spark

* 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 Dev Ops practices

* Strong communication skills and ability to work with cross-functional teams