> Markdown version of [/jobs/ext/3332585-senior-data-warehouse-developer](https://www.wearedevelopers.com/jobs/ext/3332585-senior-data-warehouse-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Warehouse Developer - **Company:** INEOS group - **Location:** Runcorn, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), Data Warehousing, Cloud Services, SQL Databases, Snowflake, Microsoft Fabric - **Published:** September 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=44ab8f6b4f06a6e8 ## About the Role * Proficient in data warehousing principles and ETL processes. * Ability to develop and maintain complex data models. * Advanced SQL querying and optimisation skills. * Experience using cloud data platforms and their associated optimisation techniques including but not limited to Snowflake, Azure, SNP and Microsoft Fabric. * Ability to lead a distributed development team with varied cultures and behaviours using modern methodologies. * Maintain and promote high standards of professionalism and integrity. * Strong communication, fluent in English, an ability to speak a major European language would be advantageous. Location(s): Runcorn UK, Newton Aycliffe UK ## Description The jobholder is responsible for providing technical leadership to a development team whilst delivering data warehousing projects using the lates cloud-based technologies., * Defining INOVYN's Date Warehouse strategic direction using industry trends, prior experience and technical expertise. * Leading a development team, developing high-quality sustainable solutions using cloud data platforms including but not limited to Snowflake, Azure, SNP and Microsoft Fabric. * Collaborate with stakeholders to understand their processes and challenges to architect Data Warehouse solutions. * Developing and maintaining data warehouse solutions using industry standard tools, including but not limited to: Snowflake, SQL, Azure and SNP. * End to end project life cycle: Research, design, documentation, configuration, testing, implementation/go-live and training * Ensuring the data warehouse, are configured to meet the needs of all business units whilst maintaining technical/cyber security standards in line with, industry best practices.