1 to 25 of 65 Metadata Jobs in the South East

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

related to the project implementation Your Skills and Experience Experience with Ab Initio: • Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. • Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts • Continuous Flows in Ab Initio • Good knowledge of the More ❯

patterns for Azure and AWS. Strong knowledge of data governance and data quality frameworks and tools Skilled in solution in relation to data cataloguing, metadata management, and data lineage tracking. Interpersonal Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work collaboratively in a team environment. More ❯

Delta Lake . Design, implement, and optimize data transformations and treatments for structured and unstructured data. Work with Hive Metastore and Unity Catalog for metadata management and access control. Implement State Store mechanisms for maintaining stateful processing in Spark Structured Streaming . Handle DataFrames efficiently for large-scale data processing More ❯

unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML More ❯

Help foster a transparent and innovative data culture across the organisation About You Essential Skills & Experience: In-depth expertise in data governance, data quality, metadata management , and profiling Solid understanding of BCBS239 in a Tier 1/Tier 2 banking context Proven ability to communicate effectively at senior and board More ❯

more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies, and metadata management Strong problem-solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that More ❯

tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation Data Transformation DevOps - data pipelines Controls - selection and build Reference and metadata management What else you need to know: This role is based in Unity Place - Milton Keynes. We want our people to thrive at work and More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

with organizational data governance and quality standards. Optimize data models for performance, scalability, and usability in data warehouse and reporting environments. Create and maintain metadata documentation, including data dictionaries and model diagrams. Analyse existing data sources and systems to identify opportunities for optimization and integration. Work with database administrators to More ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯

in Python for automation and data validation. Experience working with Databricks Notebooks and validating data transformations. Familiarity with AWS S3 , including validating file ingestion, metadata, and access control. Understanding of data privacy principles and experience in validating secure data handling. Experience using GitLab for version control and collaboration. Solid understanding More ❯

Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

to ensure the opportunities and impacts of new features are fully exploited and understood, and contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages. Proactively engage with the business regarding projects and ensure that Data principles are being adhered to, and More ❯

of these investments to ensure they deliver expected outcomes and benefits. Deliver a cohesive Group Data Model to ensure consistent master data, reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thought leadership on Data More ❯

dimensional models in the gold layer built for analytical use. Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management. Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such More ❯

discussions. Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred qualifications: Expertise in configuring/customizing Collibra, data governance frameworks, metadata management, and data quality. Proficiency in SQL, databases (e.g., Oracle, SQL Server), and familiarity with data integration tools. Ability to translate business requirements into technical More ❯

and Pandas. Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US More ❯

Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide solution/IP leadership You will lead multiple competencies within data engineering & analytics, guiding More ❯

end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset. Work More ❯

based environments, especially with multi-tenant systems. An interest in or knowledge of video streaming technology, digital broadcast, or related areas (e.g. video encoding, metadata management, CDNs). Additional Details Office location: Central London (with future shift work as the team grows to provide 24/7 support). Participation More ❯