Engineering Domain Owner - Data Platforms (Azure & Databricks)_Nottingham_Lead II - Data Engineering

We are looking for an experienced Engineering Domain Owner to lead the vision, strategy, and delivery of enterprise-scale data platforms within a modern, cloud-first environment.

This is a senior leadership role where you will own the end-to-end data engineering domain, driving architectural decisions, shaping engineering standards, and delivering scalable, high-performance data solutions that directly enable business transformation.

You will act as a technical authority and strategic partner, working closely with senior stakeholders, solution architects, and cross-functional teams to ensure data capabilities are aligned with organisational goals.

What You'll Be Doing

• Own and lead the data engineering domain, defining strategy, architecture, and engineering standards
• Drive the design and delivery of scalable data platforms using Microsoft Azure and Databricks
• Oversee the development of batch and real-time data processing solutions using distributed technologies
• Establish and evolve Lakehouse architecture, Delta Lake frameworks, and modern data modelling practices
• Deliver robust ETL/ELT pipelines, data ingestion frameworks, and orchestration workflows at scale
• Embed best practices in data governance, quality, security, and performance optimisation
• Lead engineering teams, providing technical direction, mentoring, and code governance
• Collaborate with stakeholders to translate business priorities into scalable, secure data solutions
• Drive adoption of DevOps, CI/CD, and Infrastructure as Code across the engineering domain
• Champion innovation, reusability, and standardisation across platforms and projects

Do you have experience in Terraform?, * Extensive experience in data engineering and enterprise-scale cloud platform delivery

• Strong hands-on expertise with:

• Databricks, PySpark, Spark SQL
• Python and/or Scala
• Real-time processing technologies such as Kafka / event streaming

• Deep expertise across Microsoft Azure data ecosystem, including:
• Azure Data Factory (ADF), ADLS, Synapse Analytics
• Azure Functions, Event Hub
• Proven experience leading and governing large-scale data engineering domains or platforms
• Strong understanding of:

• Data warehousing, Lakehouse architecture, Delta Lake
• Data modelling, governance, and data quality frameworks

• Experience implementing DevOps practices, CI/CD pipelines, and IaC (Azure DevOps, Git, Terraform)
• Demonstrated ability to lead teams, influence strategy, and engage senior stakeholders
• Strong problem-solving and communication skills, with a track record of delivering data modernisation initiatives, data engineering,microsoft azure services,data processing,azure data lake store

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.