Leeds, England, United Kingdom Hybrid / WFH Options
Harvey Nash
and on-prem systems. Lead the development of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right time. More ❯
and non-technical teams Nice to have: Experience with Power BI or similar BI tools Familiarity with CI/CD practices in data environments Exposure to data governance and metadatamanagement 🎁 What’s in It for You: Salary from £50,000 to £65,000 depending on experience Discretionary bonus 4% employer pension contribution 25 days holiday (plus bank More ❯
for infrastructure and orchestration Purview (and similar tools) for data governance and cataloguing 🧩 What You’ll Do: Lead the development and implementation of data quality , governance , and master data management (MDM) frameworks Define and enforce standards for data classification , lineage , and metadatamanagement Collaborate with Data Engineers to ensure robust data pipelines and warehouse architecture Evaluate and … key stakeholder in shaping how data is trusted, accessed, and used across the organisation ✅ What We’re Looking For: Proven experience in enterprise data governance , data quality , or data management roles Knowledge of Snowflake , Azure , and modern data platforms Strong understanding of data profiling , data migration , and pipeline integration Familiarity with data classification models , lineage tracking , and metadataMore ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
Jet2.com Limited
business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
data across the organization is consistent, reliable, and governed effectively. You’ll develop and implement frameworks for data quality, governance, and master data management. You will ensure the effective management of data warehouse architecture, pipelines, and support data migrations using a combination of Snowflake and Microsoft Azure technologies. Salary and Benefits Competitive salary of £70k - £75k (DOE) Hybrid working … pipelines and data models to ensure that data governance and quality rules are seamlessly integrated. Support data migrations to new platforms ensuring smooth transitions and data integrity. Master Data Management (MDM): Define and implement MDM processes to standardize key domains like customer, vendor, product, and location data across the organization. Data Profiling and Quality : Lead efforts in data profiling … legal and regulatory requirements. Data Lineage and Documentation : Define and maintain data lineage to provide transparency into data flows and transformations across systems and departments. Critical Data Element (CDE) Management : Define and manage CDEs and establish governance processes around them to prioritize data quality. Data Migration Support : Ensure data migrations (e.g., from legacy systems are carried out with full More ❯
optimise cloud costs using FinOps principles and enforce data platform-centric FinOps policies. Provide mentorship and coaching to data engineers on modern tools and technologies in Azure, data pipeline management, coding practices, design principles, and implementation patterns. Minimum Criteria Extensive experience in data engineering on an Azure data platform, with a strong background in modernisation and large-scale migration … projects. Proven ability to coach and mentor others effectively in a senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such More ❯