Engineering Domain Owner – Data Platforms (Azure & Databricks)_Nottingham_Lead II - Data Engineering
ID: 60089
1 Opening
Nottingham
Role description
Engineering Domain Owner – Data Platforms (Azure \& Databricks)
Nottingham (Hybrid – 3 days onsite)
Start: July 2026
Employment Type: Permanent / Fixed Term
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
- Extensive experience in data engineering and enterprise\-scale cloud platform delivery
- Strong hands\-on expertise with:
+ 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 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
\#UST
Skills
data engineering,microsoft azure services,data processing,azure data lake store,
About UST
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.
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