• 30/09/26
• East Midlands, Milton Keynes
• £50k - 60k per year + Benefits
• Permanent
• Analytics, Data, AI and ML
• Full time

We're recruiting for a Data Platform Engineer to join a growing Enterprise Data Delivery team. This is a hands-on engineering role focused on building and enhancing data pipelines across a modern Azure-based data platform. You'll play a key role in helping the organisation develop trusted, scalable data foundations that support future innovation and business insight.

Our client is investing heavily in its data capability and offers the opportunity to work within a collaborative, supportive team where ideas are encouraged and decisions can be implemented quickly. You'll gain exposure to a broad range of platform and product initiatives while helping shape the future of the organisation's data landscape.

Why Join

• Join a growing data team with significant investment and long-term plans.
• Work with modern Azure technologies including Databricks, Azure Data Factory and ADLS.
• Enjoy a flexible hybrid working model with just one day per week on site.
• Be part of a collaborative environment where your ideas can influence improvements and future delivery.

Responsibilities

• Build data pipelines that extract data from source systems into Azure Data Lake Storage (ADLS).
• Move and prepare data within Databricks environments for downstream consumption.
• Investigate source systems to understand underlying data structures and business requirements.
• Collaborate with subject matter experts and solution architects to define extraction requirements.
• Contribute to technical design discussions and suggest improvements to data pipelines and processes.
• Maintain, troubleshoot and enhance existing data pipelines.
• Develop new data ingestion solutions to meet evolving business needs.
• Work closely with engineers, architects and wider stakeholders across the data function.

Requirements

• Around 3-5 years' hands-on experience with Databricks. Strong candidates with approximately 2 years' Databricks experience will also be considered.
• Strong experience building data pipelines into data lake or lakehouse environments.
• Practical experience with Azure Data Factory.
• Experience working with Azure Data Lake Storage (ADLS).
• Ability to engage with business stakeholders, SMEs and architects.
• Strong problem-solving skills and a collaborative approach.
• Comfortable working independently within a remote-first environment.

Desirable Experience

• Experience working within enterprise-scale data environments.
• Exposure to lakehouse architectures and modern data platform practices.
• Experience supporting both enhancement and greenfield data initiatives.
• Interest in helping organisations build strong data foundations for future analytical and AI capabilities.

We welcome applicants from all backgrounds. Our client is an equal opportunities employer.

At Xpertise, we keep things human. Your application will always be reviewed by a real person. We do not rely on AI or automated screening tools. Every candidate receives fair, considered attention from our team.

Right to work in the UK is required for this role.