. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadatamanagement, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯
. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadatamanagement, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯
. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadatamanagement, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯
high-quality conceptual, logical, and physical data models that empower business insights and drive data excellence across the organisation. Your work will support data governance, lineage, and master data management initiatives, ensuring data integrity and alignment with business needs. You will collaborate with architects, analysts, engineers, and data scientists to deliver industry-leading digital technology that enhances customer and … within data models. Develop and enforce data modelling standards and best practices. Validate and reconcile data models to guarantee accuracy and completeness. Support data governance, lineage, and master data management efforts. Profile data to identify and address quality issues. Collaborate closely with data architects and cross-functional teams to deliver aligned data solutions. Key Skills & Experience: Proven expertise in … creating and maintaining complex data models. Strong experience with data modelling tools and techniques. Experience working with Microsoft Azure and Databricks Solid understanding of database management systems and effective database solution design. Knowledge of data governance, data quality, and metadata management. Ability to translate business requirements into clear data models. Excellent communication and collaboration skills. Logical and analytical More ❯
models to ensure accuracy and alignment with business requirements. Collaborate with data architects and stakeholders to deliver scalable, future-proof data solutions. Support data governance, lineage, and master data management (MDM) initiatives. Conduct data profiling to identify and address data quality issues. Key Skills & Experience Proven expertise in developing and managing complex data models. Strong knowledge of data modelling … tools, techniques, and database management systems. Experience designing and implementing robust database solutions. Familiarity with data governance, metadatamanagement, and data quality frameworks. Ability to translate business requirements into effective data models. Excellent communication and stakeholder engagement skills. Strong analytical mindset with a structured, problem-solving approach. Hands-on experience with Microsoft Azure and Databricks is essential. More ❯
Burton-On-Trent, Staffordshire, West Midlands, United Kingdom Hybrid / WFH Options
Crimson
Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadatamanagement, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton More ❯
Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. … Knowledge of cybersecurity, privacy principles, networking, protocols, and risk management is required. Maintain databases and optimize performance. Understand database management systems, query languages, and data warehousing principles. Manage physical and virtual data storage media. Communicate effectively with team members and stakeholders. Required Skills: MS/MA in Computer Science with 10 years' experience or BA/BS with … years' experience in data management, programming, and architecture. Eligibility for Top Secret clearance with completed T5 investigation. Must hold four Microsoft Certifications from specified options, including Azure and Security certifications. Alternatively, at least one role-based Microsoft Certification or Data Science certification. YSI is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color More ❯