26 to 50 of 176 Metadata Jobs

Architect. Strong hands-on experience with ETL/ELT, SQL, NoSQL, Oracle, and tools such as Talend, Informatica, DataStage, Collibra, and Alfresco. Expertise in metadata management, data quality, data warehousing, analytics, and GDPR governance. Advanced data modelling skills (conceptual/logical/physical). Strong communication, stakeholder management, and SDLC ...

Python is a plus) for automation and data processing tasks. Solid understanding of data warehousing concepts, ETL/ELT patterns, data quality, and metadata management . Strong problem-solving and troubleshooting skills . Excellent communication skills in English , with French proficiency (minimum B2) to collaborate with French-speaking teams. Self ...

implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with a track ...

advanced analytics to enhance market data governance, including automated data classification, usage pattern detection, anomaly identification, and cost optimisation insights. Understanding of data lineage, metadata, and data quality controls as applied to market data within enterprise data platforms. Professional Skills Strong stakeholder management and communication skills across business, technology, procurement ...

product teams to deliver robust data solutions. Experience working with Terraform for infrastructure-as-code and automated deployment of cloud resources (desirable) Understanding of metadata based ingestion frameworks and data contracts (desirable) Person Specification Able to clearly communicate with business and technology stakeholders. Attention to detail, focused on the finer ...

Data Requirement gathering, Determine ER, ER diagrams Logical data model, Multi-Dimensional Modelling Key Skills/Knowledge/Experience Strong experience in data governance, metadata management, and cataloging. Hands-on expertise with Microsoft Purview (catalog, lineage, classification, glossary). Experience supporting cloud data platforms, preferably Azure MS Fabric. Understanding ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices ...

Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture ...

secure, reliable, and scalable data pipeline architecture. Ensure robust implementation and operation of secure data infrastructure. Data Governance Implement strong governance frameworks covering stewardship, metadata, and privacy controls. Champion best practice in data quality, lineage, and lifecycle management. Stakeholder Engagement Build strong relationships with senior business leaders and key partners. ...

/TPA partner systems and monthly bordereaux submissions Develop data models using Dimensional (Star/Snowflake), Data Vault, and 3NF methodologies. Create and manage metadata and modelling artefacts using Erwin with traceability and governance. Support Medallion Architecture (Bronze, Silver, Gold) across ingestion and curation layers. Collaborate with engineering teams ...

strong semantic layer to support AI/LLM adoption Exploring opportunities to integrate AI into analytics workflows and automation Ensuring data structures, metadata and context enable accurate natural-language querying Understanding downstream impact - supporting analysts, engineers and business users What We're Looking For Strong SQL-first mindset ...

architects/SMEs, communicate design patterns, and defend decisions with clear rationale and impact analysis Proficiency in data modeling (conceptual/logical/physical), metadata, and governance patterns Familiarity with JSON-based configuration, API specs, and common integration styles (REST, batch files, xxuwjjq streaming) Design Thinking & Pattern Literacy: Can select ...

architects/SMEs, communicate design patterns, and defend decisions with clear rationale and impact analysis Proficiency in data modeling (conceptual/logical/physical), metadata, and governance patterns Familiarity with JSON-based configuration, API specs, and common integration styles (REST, batch files, streaming) Design Thinking & Pattern Literacy: Can select ...

decision engines Ontology & Knowledge Graph Collaboration Translate conceptual ontologies into implementable schemas and data flows Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data ...

Proven ability to design and build scalable, automated data pipelines. * Experience creating data quality rules, validation checks, and reconciliation logic. * Strong understanding of lineage, metadata, and control frameworks. * Ability to investigate data discrepancies, trace lineage across multiple layers, and resolve root causes. * Familiarity with troubleshooting ETL job failures, performance issues ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

efficiency Work closely with data scientists, analysts and engineering teams to support advanced analytics and reporting initiatives Implement best practices for data modelling, metadata management and data lineage Produce technical documentation including data architecture, pipeline design and data flow diagrams Support continuous improvement of data platforms through optimisation, automation … with Spark or distributed data processing frameworks Proven experience building and maintaining data pipelines, data lakes and data warehouses Strong understanding of data modelling, metadata management and data governance principles Experience working with large-scale distributed data systems and high-volume datasets Familiarity with CI/CD, version control ...

than owning or delivering data solutions. KEY REQUIREMENTS: Financial Services Experience is essential Strong experience shaping enterprise data architectures Significant experience in governance, MDM, metadata, lineage, modelling, quality management and data security. Have experience in cloud data platforms Have an understanding of regulatory and compliance requirements impacting data Strong stakeholder ...

cloud-based data platforms (AWS, Azure, or GCP) Strong knowledge of data modelling (conceptual, logical, physical) and data lake design Experience with data cataloguing, metadata management, and governance tools Understanding of data security, privacy, and access frameworks Excellent stakeholder management and leadership skills Desirable: Cloud certifications (AWS, Azure, GCP) Experience ...

data quality tooling• Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution• Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans• Oversee ...

storage, transformation, and analytical capabilities. Key Responsibilities Reviewing and documenting datasets identified for migration into a Lakehouse-style platform Gathering and organising table-level metadata during discovery and assessment phases Proactively identifying delivery risks or blockers and collaborating with internal teams to resolve them Coordinating multiple workstreams to ensure alignment ...

Technology. Key Responsibilities Define and execute the Pre‐Trade Data & Analytics strategy across core systems. Deliver a multi-year roadmap including ClickHouse migrations, metadata consolidation, common APIs, scraper consolidation, and platform resilience improvements. Rationalise, deduplicate, and govern curves across systems. Architect and oversee a Medallion-style platform using Python, React ...