Data Engineer

• Design and develop scalable data pipelines and data processing solutions
• Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies
• Build and optimise data solutions using Python, Spark, PySpark, and/or SQL
• Support data integration, transformation, and performance optimisation
• Collaborate with stakeholders to ensure high-quality, reliable data architecture

Technologies:

• Business Intelligence
• Databricks
• Fabric
• Support
• Python
• PySpark
• SQL
• Spark
• REST, We are seeking a skilled Data Engineer to join our growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid work model, with one day per week in London Victoria and the remainder working remotely. You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives. This is an excellent opportunity for a data professional looking to work with modern tooling in a flexible, forward-thinking environment.

• Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
• Strong coding experience in Python and/or Spark/PySpark
• Solid SQL skills and experience working with structured datasets
• Knowledge of relational database design, normalisation, and data modelling (desirable)
• Experience designing efficient, scalable data architectures (desirable)