51 to 75 of 297 Remote Metadata Jobs

Enterprise Data Architecture Azure Data Platform & Azure Databricks Modern Data Lakehouse architectures Data modelling (conceptual, logical & physical) Data integration and pipeline design Data governance, metadata management & data lineage Enterprise-scale platform design and transformation Excellent stakeholder engagement and communication skills Desirable UK Public Sector, Local Government or Transport sector experience ...

Enterprise Data Architecture * Azure Data Platform & Azure Databricks * Modern Data Lakehouse architectures * Data modelling (conceptual, logical & physical) * Data integration and pipeline design * Data governance, metadata management & data lineage * Enterprise-scale platform design and transformation * Excellent stakeholder engagement and communication skills Desirable: UK Public Sector, Local Government or Transport sector experience ...

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What ...

logical and physical). Experience with modern data platforms, data warehouses and cloud-based data solutions. Strong understanding of data governance, data quality and metadata management. Excellent stakeholder engagement and communication skills. Essential Requirements To be considered for this role, you must hold: Live SC (Security Check) clearance Live NPPV ...

with AI Engineering Leads, Data Engineers and client architects to ensure solutions align with enterprise standards and constraints. Define data governance, data quality and metadata practices required to support trusted analytics and AI. Provide architectural oversight across programmes, reviewing designs and guiding trade‐off decisions. Evaluate and recommend data ...

platform codebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extending test coverage without being asked Engage with AI agents for test authoring, investigation, result analysis, and documentation — working fluently in an AI-augmented engineering environment ...

analysis, including interrogation of databases Proficiency in T-SQL and working knowledge of SQL Server Management Studio Experience with data governance, data quality, and metadata documentation Understanding of relational databases, ETL/ELT processes, and APIs Familiarity with GDPR and data protection regulations A degree in a STEM subject ...

architecture principles, standards, governance processes and design assurance that support consistent and effective decision making. Strong understanding of data management and governance practises, including metadata, lineage, reference, master data, stewardship, with the ability to embed these principals into data architecture design. Experience designing data architecture for modern cloud-based data ...

capabilities supporting multiple of technology assets. Establish engineering standards, design patterns, and platform guardrails for telemetry collection and observability data management. Drive adoption of metadata‐driven routing, schema normalization, data classification, and governance across enterprise logging ecosystems. Build highly resilient, scalable, and cost‐efficient telemetry pipelines capable of handling large ...

contribute to the platformcodebase where appetite and skill allow Keep QA coverage current as new views and data sources are onboarded — updating baselines, refreshing metadata, and extendingtest coverage without being asked Engage with AI agents for test authoring, investigation, resultanalysis, and documentation — working fluently in an AI-augmentedengineering environment. What ...

support transparency, reproducibility and effective knowledge sharing across the wider team. Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements. Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively ...

practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate complex technical … Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions and an understanding of AI governance. Experience with visualisation platforms such as Power BI, Tableau ...

validation processes alongside monitoring and alerting systems such as Prometheus and Grafana to ensure reliability, performance, and operational insight across data services. Work with metadata and standards: Implement metadata capture and validation within data pipelines, including working with geospatial metadata standards where relevant, to support governance, discovery, and reuse. Support … delivery planning, estimation, and iterative improvement. Proven experience mentoring and supporting other engineers, enabling high‐quality delivery and team capability growth. Familiarity with metadata standards, including experience validating and implementing metadata, with exposure to geospatial metadata standards (e.g. ISO 19115, INSPIRE, GEMINI) being highly desirable. Desirable Skills Experience working ...

across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. Understanding ...

experience with Python development for automation, API integrations, scripting, and cloud‐native application development. Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. Support procurement processes, vendor assessments and technical requirements ...

across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. Understanding ...

least two years in a leadership role as a specialist . More than seven years working on data conversion or data warehouse projects involving metadata analysis, source-to-target mapping, profiling, cleansing, target-system requirements, synchronization, bridging, and conversion testing. Experience must include UNIX shell scripting and query performance tuning ...

specific needs. Data Engineering: Ensure efficient data flow between databases and backend systems. MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. Engineering Software for Production: Build and deploy production-grade software ...

specific needs. Data Engineering: Ensure efficient data flow between databases and backend systems. MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. Engineering Software for Production: Build and deploy production-grade software ...

geodatabase design, SQL/spatial databases, data integration and analytical workflows relevant to marine/coastal consultancy. Strong understanding of data governance, quality assurance, metadata, coordinate systems and geospatial best practice. Ability to provide technical leadership and assurance on complex projects, including solution design, peer review, risk management and delivery ...

Engineering and Systems Engineering principles.* Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure.* Understanding of data governance, metadata management and information lifecycle management.* Familiarity with Agile, Waterfall or hybrid delivery approaches. Qualifications & Professional Development* Degree (or equivalent experience) in Business Analysis, Information Management ...

modern cloud lakehouse. Comfortable reading a query plan. Hands-on dbt — you’ve authored models, written tests, and reviewed others’ models with metadata discipline. A track record of taking semi-structured source data (APIs, JSON, denormalised exports) and turning it into models other people can build on without fear. Comfortable ...

Designing conceptual, logical and physical data models that support strategic outcomes. Leading data discovery, profiling and requirements analysis activities. Developing data standards, governance models, metadata frameworks and master data strategies. Designing data pipelines, integrations and data flows across systems and domains. Balancing technology, security and business needs to deliver effective … Sparx EA, ArchiMate, UML). Experience designing enterprise data flows, integrations and data pipelines. In‐depth understanding of data management principles including data quality, metadata, master data and reference data. Experience gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud ...