151 to 175 of 301 Metadata Management Jobs

/or Scala. Expertise in 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 ❯

/or Scala. Expertise in 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 ❯

/or Scala. Expertise in 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 ❯

/or Scala. Expertise in 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 ❯

/or Scala. Expertise in 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 ❯

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 More ❯

engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day – an extra day to give back to yourself or your community Cycle-to More ❯

engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself or your community Cycle-to More ❯

GCP). Proficient in data modelling, integration patterns, and governance frameworks. Experience with BI tools (e.g., Power BI) and semantic modelling. Knowledge of data security, compliance (e.g., GDPR), and metadata management. Desirable: Experience with MLOps, streaming technologies, and regulated sectors. More ❯

GCP). Proficient in data modelling, integration patterns, and governance frameworks. Experience with BI tools (e.g., Power BI) and semantic modelling. Knowledge of data security, compliance (e.g., GDPR), and metadata management. Desirable: Experience with MLOps, streaming technologies, and regulated sectors. More ❯

GCP). Proficient in data modelling, integration patterns, and governance frameworks. Experience with BI tools (e.g., Power BI) and semantic modelling. Knowledge of data security, compliance (e.g., GDPR), and metadata management. Desirable: Experience with MLOps, streaming technologies, and regulated sectors. More ❯

GCP). Proficient in data modelling, integration patterns, and governance frameworks. Experience with BI tools (e.g., Power BI) and semantic modelling. Knowledge of data security, compliance (e.g., GDPR), and metadata management. Desirable: Experience with MLOps, streaming technologies, and regulated sectors. More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you're interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at or you can call More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you can More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you More ❯

e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at b.forbes@tenthrevolution.com or you can More ❯

to work You can find out more here: Benefits - Police Digital Service (pds.police.uk) The Data Architect implements the design, build and best practice for the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture, working seamlessly with internal PDS and external partners to enable and fulfill multiple stakeholder requirements. Key Responsibilities Implement and manage the … data architecture frameworks, guidance, maintenance and understanding of how data is processed and how it flows Work with senior stakeholders to align priorities and secure support Support the build, management and maintenance of data and analytics capabilities including design and build of solutions, data infrastructure, analytics tools, products and services Support the build, management and maintenance of data … and analytics capabilities including assurance and controls, data management, data tools, products and services Detect and analyse early trends in data and analytics technology Support teams to realise opportunities for innovation Advise on new techniques and methods that address shared problems Implement organisational processes and ways of working so that data and analytics roles you support can thrive Continuously More ❯

Deep, hands-on experience designing and building data warehouses with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation pipelines Practical mastery of LookML and semantic layer design within Looker, including … tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through technical architecture (not just documentation) Familiarity with data cataloging, metadata management, and observability tools A systems-thinking mindset-you understand the full data lifecycle and how to maintain integrity from source to dashboard At Booksy, we believe in More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯

alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and … user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented More ❯