1 to 25 of 36 Remote Metadata Jobs in the South East

workflow/orchestration tools (e.g., Airflow, Dagster, Prefect). Cloud-based Data Services: Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered). Data Lineage & Metadata Management: Understanding of best practices. Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001). SaaS/API-driven Environments: Background in SaaS/API-driven environments More ❯

operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets More ❯

aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem More ❯

aspects of regulatory submissions, audits, and assurance reviews. Skills & Experience: Proven experience leading data quality initiatives in large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem More ❯

cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute to improving data engineering More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on a hybrid More ❯

and data warehousing solutions. Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud, Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools. Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements. Benefits Competitive Salary and equity in More ❯

principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. Excellent problem-solving, communication, and collaboration skills. Organisation: Initial Contract - 3-6 months Day Rate - Outside IR35 London (Hybrid working) Robert Half Ltd acts More ❯

engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global stakeholders Ensure data quality, governance More ❯

of your field. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global stakeholders More ❯

Contract Role: Metadata Management Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim DMO metadata management repositories Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata for CDEs Work with project managers to capture technical metadata … for MITBIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Promote standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement in all aspects of metadata management Skills & Experience Strong understanding of business and technical metadata types Significant experience in metadata More ❯

/ML initiatives (RAG workflows, LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream (metadata tagging, lineage tracking, the good stuff) Collaborate with brilliant behavioural scientists and product teams who'll challenge them in the best ways The ideal candidate will: Know their way around More ❯

Knowledge of BCBS239 principles and requirements Experience of working across multiple jurisdictions and cultures Use of industry standards and frameworks (e.g. DAMA, DCAM) Data management tooling experience or proficiency (metadata/lineage, DQ platforms, reporting solutions) SQL skills to support requirements and data analysis, ideally including both raw and aggregated data with the ability to review transformation logic Candidates will More ❯

relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate in code More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

and AI to support proactive and informed decision making. • Promote data product thinking by designing reusable, modular data assets that serve cross functional business needs and accelerate delivery. • Drive metadata management and data lineage practices to improve data discoverability, trust and compliance. • Tailor analytical approaches to the care sector's specific needs, including safeguarding, compliance, operational efficiency and people's More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability of our data infrastructure and that it enables the company to achieve its business objectives Data Platform Optimization: Ensuring that the team is working More ❯

enforcement of policies for data quality, security, and compliance. Experience setting up and working with in a Data Office that defines the above policies Proficiency in data cataloguing and metadata management tools such as Collibra, Atlan, Informatica, or similar platforms. Knowledge of data lineage, stewardship, and data quality management, using relevant tools and applications to support these responsibilities. Comfortable implementing More ❯

for 2026 and build infrastructures to measure LTV by acquisition source. You will also develop deep-dive reporting and insights on content consumption and support evaluation of AI-driven metadata features. Develop, maintain and evolve self-service dashboards across Tableau/Looker for O&O teams - covering traffic, content, SEO and newsletter performance. What you'll need to succeed Experience More ❯

for a data-driven, decision-making culture. Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk. Define, manage, and control master data and metadata management policies, controls, and standards, including reference data. Manage controls for the appropriate protection of enterprise information assets through a defined life cycle from acquisition or creation to end of More ❯

in data modeling, semantic architecture, or ontology engineering — ideally with real-world R&D, scientific, or enterprise complexity. Expertise in designing scalable, extensible knowledge systems across structured, unstructured, and metadata-heavy environments. Demonstrated success working on data systems that integrate across multiple domains and user groups. Hands-on experience designing or implementing knowledge graphs, domain-specific schemas, or structured data More ❯

governance, including risk assessments, human in the loop safeguards, and data protection Lead or contribute to AI proof of concept projects and experiments Define reference patterns, naming conventions, and metadata standards for AI Stay up-to-date on enterprise AI trends, foundation models, and regulatory developments Advise colleagues on the responsible and ethical use of AI What you'll bring More ❯

reference for key roles and responsibilities Design and document business processes and data standards Support Data Council and working group meetings Assist in defining control frameworks (in collaboration with Metadata Lead) Deploy and refine processes with Data Quality Analyst to ensure BAU readiness Develop training materials and deliver initial training sessions Ensure alignment between EMEA DMO and major transformation programmes More ❯

Contract Role: Data Quality & Metadata Specialist Location: Hybrid (London - likely 1-2 days onsite per week) Duration: 6 months IR35 Status: SDS to be determined Key Responsibilities Own and maintain interim metadata repositories for DMO Ensure metadata complies with policy standards Collaborate with data owners and stewards to populate business metadata for CDEs Work with project managers to capture technical … metadata for MIT/BIT initiatives Establish and execute attestation and change management processes Support documentation of data lineage where required Assist in identifying long-term and interim metadata management tools Champion standardisation, visibility, and corporate-wide adoption of metadata Hands-on involvement in all aspects of metadata and data quality management Skills & Experience Strong understanding of business and technical … metadata types Significant experience in metadata management and data quality frameworks Proficiency in data modelling and profiling Excellent documentation and stakeholder management skills Financial Services experience preferred (not essential) Additional Information Contractors are expected to maintain clear reporting lines, comply with regulatory requirements, and uphold the Company's Code of Conduct. You will be responsible for maintaining professional competence and More ❯