1 to 25 of 125 Remote Permanent Metadata Jobs

implement data models, schemas, and structures. Ensure that data models support business reporting and analytics needs while optimizing query performance. Maintain data dictionaries and metadata to document data structures and relationships. Performance Optimization Optimize data storage, retrieval, and query performance by implementing indexing, partitioning, and caching strategies. Monitor data processing ...

monitoring, validation processes, and performance optimisation. Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets. Contribute to standardised KPIs, metadata, and a single source of truth for reporting. Work with business teams to translate complex requirements into scalable, high-impact models. Support agile delivery ...

heart of transforming legacy systems into scalable, production-grade architectures using Microsoft Fabric. You'll build complex ingestion pipelines, craft metadata-driven transformation layers, optimise data workflows, and deliver high-quality semantic models that power enterprise reporting. You'll work across Microsoft Fabric, Power BI, Power Platform, Dynamics ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based ...

C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated ...

With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global ...

With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global ...

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power ...

transformation logic in the target Azure Databricks platform. • Collaborate with data architects and platform engineers to define target-state models, ingestion patterns, and metadata-driven frameworks. • Migrate and refactor SAS ETL logic into PySpark/SQL on Databricks following best practices. • Contribute to data quality, reconciliation, and test automation ...

transformation logic in the target Azure Databricks platform. • Collaborate with data architects and platform engineers to define target-state models, ingestion patterns, and metadata-driven frameworks. • Migrate and refactor SAS ETL logic into PySpark/SQL on Databricks following best practices. • Contribute to data quality, reconciliation, and test automation ...

enterprise data model (EDM) thatleverages the latest technologies to support system performance, scalability,security, and data analytics for Threes data. What else it involves Metadata and MDM (MasterData Management) Assist in assessing theeffectiveness of existing technologies and processes in relation to thedata architecture Create necessaryimplementation/migration plans, and recommend ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills ...

LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream (metadata tagging, lineage tracking, the good stuff) Collaborate with brilliant behavioural scientists and product teams who'll challenge them in the best ways The ideal candidate ...

data quality. Spatial Data Management & Analysis Manage, transform and analyse spatial datasets from multiple internal and external sources. Develop scripted data quality improvements, metadata standards and geospatial governance controls. Produce spatial models, reports and analytical outputs to support decision-making. Maintain core datasets including LLPG, LSG, UPRN, OS mapping layers ...

data management. Data Governance in the Age of AI: Support the implementation and adherence to data governance policies, focusing on data quality, metadata management, data lineage, and data security. Help define and enforce data governance standards for data used in AI/Machine Learning (ML) models, ensuring data integrity, bias … conceptual, logical, physical), and database technologies (e.g., relational databases, NoSQL, data warehouses, data lakes). Familiarity with data governance frameworks, data quality management, and metadata management concepts. An understanding of AI/Machine Learning concepts and their associated data requirements and challenges. Proficiency in SQL and experience with at least ...

stakeholders to align data governance requirements and overall data strategy. Support the development and enforcement of data standards, naming conventions, stewardship models, and metadata practices, including business glossaries and data dictionaries. Create and maintain documentation for Salesforce data integrations, data quality initiatives, and deduplication strategies. Required Experience & Certifications Salesforce Platform ...

monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection , cloud vs. on-prem deployment , and integration patterns (API, ETL, messaging). Support metadata management , lineage tracking , and compliance initiatives. Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong plus. ...

environment. Your new role Define and implement the data engineering strategy aligned with business and technology goals. Lead development of data ingestion, quality, and metadata pipelines powering SAM's supervisory tools. Deliver scalable, secure, and production-ready data platforms using Azure and Databricks. Collaborate across Technology and DAT to integrate ...

testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days ...

testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days ...

testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days ...

testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days ...

technical conversations and deliver robust, maintainable solutions. Key Responsibilities Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support ...