1 to 25 of 40 Part-Time Metadata Jobs in London

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 ❯

Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). 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 ❯

time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. More ❯

platforms ETL/ELT processes and technologies Business intelligence and analytics tools Cloud data platforms (AWS, Azure, GCP) Data quality management and profiling tools Metadata management principles Desired Certifications CDMP (Certified Data Management Professional) DAMA CDMP (Data Management Association) IBM Data Governance Microsoft or Data bricks Data certifications 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 ❯

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 ❯

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 ❯

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 ❯

data models, ensuring scalability and performance Define mappings between various layers of data abstraction Facilitate data model approval through internal governance processes Assist with metadata management and register data products within a data catalog (e.g., Collibra) Apply best practices in enterprise data modelling, including use of star schemas and de 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 ❯

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 ❯

experience with Python and Pandas. Experience 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 ❯

Technology, Cloud Data Warehouse, and Data Lake platforms. Expertise in Data Governance practices, including leading solutions for Data Quality, Data Profiling, Data Catalog, and Metadata management strategy. Ability to multitask and juggle several responsibilities simultaneously. Strong written and verbal communication skills. Excellent organizational skills and attention to detail. Experience crafting More ❯

or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience in designing data lakes, data pipelines, and metadata management. • Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery. • Background in consulting, including stakeholder engagement and client-facing delivery. • Proven success More ❯

years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms More ❯

e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud/SAP)/data architecture Understanding of public and private More ❯

automation using CI/CD practices and infrastructure as code • Work with various data formats including JSON, XML, CSV, and Parquet • Create and maintain metadata, data dictionaries, and schema documentation Required Experience: • Strong experience with data engineering in a cloud-first environment • Hands-on expertise in AWS data stack, particularly More ❯

ensure buy-in and adoption across the organisation. Support the selection or integration of data governance tools as needed. Drive data quality , lineage, and metadata practices that align with regulatory requirements (including regulatory reporting ). Educate and support staff at all levels to build governance awareness and culture. Ensure solutions More ❯

low-latency GPU processing and visualisation of hyperspectral video streams; server-/cloud-based data management and analysis of large surgical datasets and associated metadata; UI frameworks for use in a surgical setting; continuous integration workflows and software development planning, tracking and scheduling tools; implement best practices in terms of More ❯

Senior Data Architect (Azure) Insurance/ReInsurance Location: London Hybrid:3 Days a week Position Overview: As a Senior Data Architect, you will be responsible for designing, implementing, and optimising our data architecture/data lakehouse to support cloud-based More ❯

are robust, scalable, and aligned to both client business objectives and industry best practices. This may include establishing data ownership models, quality controls, and metadata strategies. Act as the main point of contact for senior client stakeholders, facilitating workshops, providing regular status updates, and ensuring expectations are met or exceeded. More ❯