26 to 50 of 212 Permanent Metadata Jobs

Spark (PySpark or SparkSQL) Experience building production data pipelines in cloud environments (AWS, Azure, or GCP) Understanding of data modeling, schema design, and metadata management Familiarity with CI/CD and version-controlled development practices Why Join Us? We’re a purpose‐driven organisation committed to creating positive impact ...

data quality. Pipeline Stability: Monitor system performance and stability, ensuring automated tasks are working as designed. Data Management: Manage structured and unstructured data and metadata, ensuring availability of clean, transformed data to meet business needs. Business Intelligence Tools/Infrastructure: Set up solutions, tools, views, and access permissions for different ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience ...

streaming, and unstructured data Proficiency in Python and/or TypeScript Understanding of data modelling, system design, and scalable architectures Knowledge of data governance, metadata management, and security principles Strong communication skills with the ability to engage technical and non-technical stakeholders Familiarity with SDLC, version control, and CI/ ...

frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. Strong programming skills in PySpark, SQL, Python. Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. Hands‐on experience with DQ frameworks, validation rules and reconciliation logic. Ability to integrate Azure/Fabric datasets with Power BI semantic models ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

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 ...

data products in Snowflake Build and support batch, micro-batch, and streaming pipelines Collaborate with infrastructure and development teams to deliver optimised solutions Maintain metadata, data quality standards, and platform documentation The Person: Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT Strong SQL and Python ...

infrastructure projects. • Experience with data visualisation tools (e.g. Power BI) or data analysis techniques is a plus. • Understanding of data governance, data quality, or metadata management is advantageous. ...

ITAM, CSM, HRSD, SecOps, GRC, etc.). Strong integration experience: REST/SOAP APIs, IntegrationHub, MID Server, custom integrations. Understanding of data modeling, CMDB, metadata, core data, data governance, security. Preferred: Experience in defining and implementing technical governance, architecture operating models, instance strategy. Good knowledge of IT best practices ...

teams.What you'll bringA strong foundation in data modelling (dimensional and entity‐relationship).Experience in areas such as data quality, master data, reference data, metadata and cataloguing.Hands‐on experience with Master Data Management and data architecture principles.A ”cloud‐first” mindset and understanding of modern data platforms.Excellent communication and stakeholder management ...

Experiment Tracking & Model Registry Maintain and improve the MLflow-based experiment tracking and model registry infrastructure. Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking. Enable ML engineers to move seamlessly from experimentation to production deployment with minimal friction. Data & Model Versioning Implement and maintain training data ...

security CISSP/CISM or ISO 27001 Lead Implementer/Lead Auditor (or equivalent) Training or certification in data governance, data quality management, or metadata management (e.g., DCAM, CDMP, DAMA DMBoK-aligned training) Experience of working in Agile, Lean or DevOps-aligned delivery practices (e.g., Kanban, flow metrics, sprint planning ...

between applications, using appropriate software (e.g., Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves) Identify meaningful insights from large data and metadata sources Compile reports, charts, and tables based on established statistical methods Prepare conclusions and predictions based on data summaries Additional duties as assigned or required ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI‐driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

data modelling standards — conceptual, logical and physical — and ensure models are fit for both regulatory reporting and AI-driven insight. Define Unity Catalog structure, metadata standards and data lineage governance across the estate. Data Ingestion & Processing Define ingestion standards and data contracts for data arriving from the landing zone into … analytics. ETL/ELT pipeline development and optimisation to support large‐scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Experience defining data contracts and ingestion standards between source delivery teams and the data estate. Deep ...

modelling, governance and performance), with experience modernising from legacy MSBI where applicable. Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns, metadata/lineage, data quality, and governance. Working knowledge of non‐Microsoft tools/platforms (for example Databricks, Snowflake, Tableau, Qlik, SAP BusinessObjects) to help clients … prep/automation tooling (for example Alteryx or Power Platform). Experience with data warehouse automation tools (for example WhereScape RED) and/or metadata/governance tooling (for example Microsoft Purview). Non‐Technical Skills Proven ability to build trusted relationships with senior stakeholders and act as a credible ...

collection from multiple sources, authoritative source identification, data formalization, and linkage through common, scalable architectures. Establishes data governance frameworks, including policies for standardization, quality, metadata management, and compliance with DoW regulations to promote consistency and reliability across hybrid environments. Collaborates with stakeholders to define enterprise data strategies, optimize pipelines … Familiarity with cloud-based data services (e.g., Azure Databricks, AWS S3/Glue), Big Data frameworks (e.g., Kafka for streaming), and governance tools for metadata and lineage tracking. Knowledge of DoW data policies, compliance standards (e.g., RMF), and best practices for multi-source data harmonization and authoritative sourcing. Advanced analytical ...

translating control requirements to required activities. Preferred qualification, skills and capabilities Knowledge of data management capabilities, such as lifecycle management, data quality (DQ) management, metadata management, data classification, data lineage, data privacy or data integration. Knowledge of data management technologies (e.g. data retention, data integration, data visualization, analytics) and integration ...

knowledge of frameworks such as NIST 800, ISO 27001, and UK regulatory expectations (PRA, FCA, ICO, GDPR) * Proven experience across data governance, data quality, metadata, and data security * Good understanding of data architecture concepts, including data lakes and data warehouses * Experience with data integration, migration, and reporting tools * Working knowledge ...

security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements. Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards. Operational Excellence: Build resilient, high-performing data solutions capable of supporting financial reporting workloads. Develop and maintain reusable data engineering patterns ...

wider data capability. What You’ll Be Doing Designing enterprise-scale data architectures across complex transformation programmes Leading on data modelling, data flows, metadata management, governance, migration, and transformation Working closely with clients to define scalable, fit-for-purpose data solutions Providing technical leadership across delivery teams and wider architecture ...

workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications Experience and technical expertise (design and implementation) in cloud computing technologies Experience in large scale migration- data ...

integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data governance, metadata, and data-quality frameworks. Experience with DevOps and CI/CD workflows. Desirable Skills Experience with ERP/CRM integration. Exposure to event-driven architectures. Experience ...