Data Engineer

We're supporting a highly respected Software business to in their search for a Data Engineer to support a major client engagement. They're looking to bring in a Data Engineer to help design and build modern data solutions that enable better analytics, reporting, and data-driven decision making.

This is a hands-on role with exposure to client environments, ideal for someone who enjoys working across the full data lifecycle while continuing to develop their technical skillset.

The Role:

• Support the design and development of data platforms, lakes, and pipelines
• Build and maintain processes for data ingestion, transformation, and storage
• Work with teams to integrate disparate datasets into cohesive data models
• Contribute to solutions that power analytics, reporting, and data science use cases
• Collaborate with stakeholders to understand requirements and deliver effective outcomes
• Participate in engineering decisions and contribute to improving best practices

• Commercial experience in data engineering role
• Hands-on experience with tools such as Python, SQL, Spark / PySpark
• Understanding of data pipelines, ETL/ELT processes, and data storage solutions
• Exposure to data modelling and designing scalable data structures
• Background or grounding in software engineering principles
• Strong problem-solving mindset with a pragmatic approach
• Good communication skills and ability to work collaboratively within teams

Why Apply?

• Great flexible working arrangement
• Opportunity to work on complex, high-impact data projects
• Collaborative, engineering-led culture with a focus on quality