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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Domain Owner - Data Platforms (Azure & Databricks)_Nottingham_Lead II - Data Engineering - **Company:** UST Global - **Location:** Nottingham, UK - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Dataspaces, Data Systems, Data Warehousing, DevOps, Apache Hive, Python (Programming Language), Performance Tuning, Azure Data Lake, Data Streaming, Data Processing, Cloud Platform System, Real Time Systems, Data Ingestion, Azure Data Factory, Git, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Terraform, Stream Processing, Data Pipelines, Serverless Computing, Databricks - **Published:** June 13, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=423af83d2aa11a16 ## About the Role 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 ## Description 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)