10 of 10 Remote/Hybrid Metadata Jobs in Central London

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

/ELT processes and dimensional modelling. Experience designing data models and documentation that are usable by AI/LLM-based analytics tools (semantic layers, metadata, access controls). In-depth knowledge of cloud data infrastructure, ideally GCP (Azure or AWS also considered). Excellent problem-solving skills and the ability ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

platform engineering and optimisation. * Extensive experience building dbt projects from the ground up. * Strong SQL and data warehousing expertise. * Experience designing CDC, ELT and metadata-driven ingestion frameworks. * Solid understanding of CI/CD, Git and infrastructure as code practices. * Python development experience for data engineering and automation. * Experience leading ...

Services is expanding its internal data engineering capability and seeks a Senior Data Engineer with Databricks and Azure data services expertise to design scalable, metadata-driven data solutions. You will own ingestion frameworks, collaborate with stakeholders, and mentor junior engineers while delivering robust data pipelines. The role emphasizes ownership ...

industry experience. Strong understanding of LLMs (including tool use and evaluation), knowledge graphs, and multimodal data. Comfort working with biological data (omics and experimental metadata) and collaborating with domain experts. Proficiency in Python, with substantial experience in modern ML and data science tooling. What will make you stand ...

Engineer with strong expertise in Databricks and Azure data services. The ideal candidate will have a proven track record of designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes, and will be capable of working with a high degree of autonomy. The role requires … with stakeholders, balancing multiple deliverables, and implementing robust data solutions to enable business insights and operational efficiencies. Responsibilities Take ownership of the development of metadata ingestion frameworks and orchestration processes. Design and implement scalable and reusable metadata-driven services to optimise data pipelines. Build and maintain robust data solutions using ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineerto join our AI team. This position will work on a team to accomplish tasks and ...

structured sessions with subject matter experts (SMEs) and the data office to validate definitions, resolve discrepancies and capture requirements. Define and apply modelling standards, metadata requirements and quality controls in line with the banks data governance framework. Work within a factory model, delivering multiple data product models concurrently through … Erwin. Strong understanding of investment banking data concepts and relationships. Experience translating business requirements into structured data models. Knowledge of data modelling standards, metadata management and data governance. Strong stakeholder management and communication skills, with the ability to work effectively with business and technical teams. Experience working in a fast ...