101 to 125 of 284 Permanent Metadata Management Jobs

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

costs, benefits, risks, and dependencies. Own and maintain core architecture artefacts, including: Data architecture policy, standards, and guidelines Data classification and data domain models Data architecture blueprint and lifecycle management process Register of authoritative sources and data security model Develop and maintain data models (conceptual, logical, physical), data flows, and integration patterns. Translate business and regulatory requirements into end … business functions to identify architecture requirements for critical processes and data elements. Partner with IT, service providers, and vendors to deliver the data architecture blueprint. Coordinate with other data management capabilities (data governance, data quality, reporting) to ensure alignment. Contribute architectural input to strategic projects, including delegated authority, claims, finance, and regulatory reporting. What you'll need: Essential Significant … including data security and access control. Experience developing and maintaining architecture artefacts, policies, and standards. Ability to build business cases, including cost/benefit and risk analysis. Familiarity with metadata management, data classification, and authoritative sources. Strong communication and stakeholder management skills, able to engage both technical and business leaders. Desirable London Market or wider insurance industry More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or More ❯

data analytics roles. Proven consulting experience at a Big 4 or mid-to-large consulting firm, advising enterprise clients. Strong hands-on experience with AWS cloud services for data management and analytics. Expertise in data modeling, ETL/ELT design, and data integration architectures. Excellent communication and presentation skills with the ability to translate complex data concepts into business … and build trusted advisor relationships. Preferred: Experience with additional cloud platforms (Azure, GCP) or data technologies (Snowflake, Databricks, Redshift, etc.). Familiarity with data governance, data quality frameworks, and metadata management tools. Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. 3rd party and subcontract staffing agencies are not eligible for partnership on this More ❯

with real-time data integration and streaming platforms (Kafka, AWS Glue, etc.Exposure to DevOps, CI/CD pipelines, and version control tools (Git, JenkinsWorking knowledge of data governance and metadata management tools.Background in finance, healthcare, or retail domains is a plus. More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

proficiency in data modelling (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms. Skilled in data integration, ETL/ELT design, and API-driven architectures. Experience with data governance, metadata management, and master data management They're big on expertise, not hierarchy, so you'll be trusted with more responsibility while supported by everyone around you. You More ❯

play a critical role in translating strategic requirements into scalable data solutions, ensuring data quality, integrity, and security across systems. The role combines a strong technical foundation with stakeholder management and strategic thinking. Design and maintain the company's data architecture framework, standards, and principles. Develop and optimize data models, pipelines, and integrations across cloud and on-premise platforms. … design, and database technologies (e.g., Snowflake, Azure, SQL, Databricks). Proven experience working in complex data environments, ideally in the energy or industrial sector. Familiarity with data governance frameworks, metadata management, and master data management. Excellent communication and stakeholder engagement skills. Fluency in both Dutch and English is a must - the role involves collaboration across both local and … international teams. Bachelor's or Master's degree in Computer Science, Data Science, Information Management, or a related field. What's On Offer Purpose-Driven Work - Contribute to a leading company driving the renewable energy transition. Innovative Environment - Work with state-of-the-art data platforms and cloud technologies. Hybrid Working Model - Flexibility to work both remotely and on More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or … enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯

Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and strategically … Proven ability to design and implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. Background in product architecture or … enterprise architecture. Knowledge of data cataloging, lineage, and metadata management tools (e.g., Collibra, Alation, Amundsen). Familiarity with DevOps and DataOps practices, including CI/CD, version control, and infrastructure as code (e.g., Terraform). Understanding of regulatory frameworks such as GDPR, CCPA, and industry-specific compliance (e.g., HIPAA, PCI). Our benefits Hybrid working model; Private medical More ❯