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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Aspire - **Location:** Gateshead, UK - **Salary:** £40,000.0 - £65,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Vault Modeling, DevOps, DataOps, Azure Data Lake, SQL Databases, Transact-SQL, Data Processing, Data Storage Management, Azure Data Factory, Delivery Pipeline, Apache Spark, Microsoft Fabric, Production Code, Azure Synapse Analytics, Software Version Control, Data Pipelines, Programming Languages - **Published:** September 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5d468b99259ba837 ## About the Role * Hands-on experience with Microsoft Fabric and Azure data services. Experience building and maintaining data pipelines, lakehouses, and data transformations using Microsoft Fabric, Azure Data Lake, Azure Synapse, or related Azure services. * Knowledge of CI/CD pipelines, version control, and DevOps practices related to data engineering. * Proficiency in SQL (T-SQL / SparkSQL) for data manipulation, transformation, and querying. * Solid understanding and practical application of Data Vault and Kimball data modelling methodologies. * Experience designing and optimising ETL/ELT workflows for large-scale data processing. * Strong understanding of data governance, data security, and compliance best practices. ## Description We are looking for an experienced Data Engineer to join our Applications and DevOps team based at our Head Office on the Gateshead Quayside. As a Data Engineer, you'll work with a team of problem-solvers to build and improve solutions that help the business move forward. The team is centred around driving business efficiency, lowering risk and improving the value we can drive to our customers. We are a fast-paced and ambitious company; we're looking for someone with the passion to match. An enthusiastic and proactive approach is vital as you'll be instrumental in helping drive technical innovation and allowing the company to achieve peak performance. Customer service is key to success in the role - living our values are woven through everything we do to guarantee that our service delivery is second to none. What you will be doing * Design, build, and maintain scalable and efficient data pipelines and ETL processes. * Implement data engineering best practices and methodologies, ensuring data integrity, security, and quality. * Work with structured and unstructured data sources, transforming them into valuable business insights. * Develop, test, and deploy robust, production-ready code using relevant programming languages and data technologies. * Optimise data storage and retrieval solutions to ensure high performance and cost efficiency. * Deploy and manage data infrastructure within Azure. * Continuously evaluate and adopt emerging technologies and tools to improve data engineering processes. * Work with stakeholders across the business to understand data challenges and requirements and deliver solutions through to adoption., We generally conduct interviews in three stages, lasting approximately 2-3 weeks depending on everyone's calendars. * Shortlisted candidates will be invited to a pre-screening call via teams to discuss your experience and what you're looking for in your next role. * Successful candidates will be invited to an interview with the Hiring Manager. * If successful in interview, candidates will be invited to an informal interview with key stakeholders at Aspire to meet the wider team(s). ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)