5 of 5 Permanent Data Governance Jobs in Glasgow

Embark on a transformative journey as an Enterprise Data Architect. At Barclays, our vision is clear: to define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. To … be successful as an Enterprise Data Architect, you should have experience with: Developing architectural solutions and patterns using latest data engineering approaches, for example data lake, events, API Ability to logically model financial data Excellent written communications skills with experience using structured design languages, for example UML, Archimate or equivalent Some other highly valued skills may … include: Good stakeholder management skills up to C-level execs Understanding of data governance and data management processes and best practice You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical More ❯

note, ideally we would seek a candidate who can be hyrbid from Glasgow or London, but this role can be remote subject to location. We are seeking an experienced Data Migration Engineer to support a large-scale migration project. The successful candidate will play a key role in designing, developing, and executing migration strategies to ensure data is … MySQL , who can take ownership of migration tasks, proactively identify risks, and collaborate closely with technical and business stakeholders. Key Responsibilities Design, develop, and execute ETL processes to migrate data from legacy systems to target platforms. Write and optimise complex SQL queries (preferably MySQL) to support data extraction, transformation, and validation. Apply the full data quality framework … accuracy, completeness, consistency, timeliness, validity, uniqueness, integrity) across all migration activities. Conduct data profiling, cleansing, and quality assurance checks to ensure accuracy and completeness of migrated data. Translate business and technical requirements into data transformation rules and implement them effectively. Provide clear feedback to QA data testers , ensuring test coverage and quality are maintained throughout. Raise and More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way … through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics More ❯

As a Senior Data Analyst Business Partner at Barclays, you will be leading a team at the heart of ensuring the highest standards of data quality while working closely with business stakeholders to implement new data processes. Your primary focus will be improving data integrity, driving innovative data initiatives and ensuring that data systems … in coaching and supporting junior members of the team, sharing your expertise to foster their development and ensure a strong, collaborative team environment. To be successful as a Senior Data Analyst Business Partner, you should have experience with: Proven experience in business and data analysis within a complex end-to-end architecture. Expertise in re engineering and owning … data and process operating models. Demonstrated success in implementing new governance or operating models across large global teams or functions. Other highly valued skills also include: Senior level experience in data management, risk, and controls within a financial services organisation. Certification in process improvement or Lean Six Sigma. In depth knowledge of Risk, Finance, or Treasury business More ❯

of the broader Dynamics platform Significant experience of designing and leading solutions using Dynamics CE/CRM Experience of leading project teams in close collaboration with clients Experience of Data Governance and Information Protection principals Experience of designing and implementing solutions using Microsoft Azure Awareness of user experience (UX) and user interface (UI) design concepts Bright Purple is More ❯