1 to 25 of 59 Remote Metadata Jobs

Databricks certifications (e.g., Azure Data Engineer, Databricks Data Engineer Associate/Professional). Experience in regulated or data-intensive industries. Knowledge of MDM, metadata management, lineage, and data governance practices. Personal Attributes Proactive, solution-focused, and resilient in fast-paced environments. Collaborative with strong leadership presence and a curiosity ...

Comfortable leading iterative delivery using Agile practices. Exposure to tools such as dbt, Airflow/ADF/Dagster, Snowflake/Databricks/Fabric, and metadata/governance systems is beneficial. Ready to Lead in a Role with Real Influence? If you want ownership, visibility and the chance to shape analytical ...

services integrated with Databricks, including data security, identity, cost optimisation, ingestion automation and platform governance. Enterprise data quality & governance: Leading standards for tests, lineage, metadata, profiling, documentation, and regulatory compliance across multi-team pipelines. Semantic/BI enablement: Expert in semantic modelling, KPI governance, and enterprise reporting architecture in Power ...

capability. - Build and maintain API integrations with third-party systems. Data Engineering & Analysis - Ingest, transform, and prepare structured and unstructured data. - Implement data quality, metadata, and lineage standards within Microsoft Fabric. - Support data science activities (exploratory analysis, feature engineering, modelling support). - Create scalable datasets and semantic models for business ...

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 ...

Microsoft Fabric, Lakehouse architecture, and Power BI semantic modelling. Familiarity with analytical testing, data quality monitoring, and reporting validation. Strong documentation, lineage tracking, and metadata management skills. Ability to work collaboratively with technical and business stakeholders. Available to start early April 2026; part-time initially (3 days/week), ramping ...

pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning ...

industry Expertise in data modelling and analytics product design Experience with Databricks and cloud platforms (Azure or AWS) Knowledge of data governance, testing and metadata standards Ability to work with senior stakeholders and lead delivery Must hold (or be eligible for) SC Clearance – applicants must be sole UK nationals Degree ...

suite audiences. Hands-on data modelling capability across conceptual, logical and physical layers. Deep understanding of data management -data quality, MDM, reference data, metadata, governance and analytics/BI. Experience defining architecture patterns and applying structured methodologies. Proven ability to document and standardise data semantics , including taxonomies and vocabularies. Experience ...

enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices ...

Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture ...

Proven ability to design and build scalable, automated data pipelines. * Experience creating data quality rules, validation checks, and reconciliation logic. * Strong understanding of lineage, metadata, and control frameworks. * Ability to investigate data discrepancies, trace lineage across multiple layers, and resolve root causes. * Familiarity with troubleshooting ETL job failures, performance issues ...

Proven ability to design and build scalable, automated data pipelines. * Experience creating data quality rules, validation checks, and reconciliation logic. * Strong understanding of lineage, metadata, and control frameworks. * Ability to investigate data discrepancies, trace lineage across multiple layers, and resolve root causes. * Familiarity with troubleshooting ETL job failures, performance issues ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

efficiency Work closely with data scientists, analysts and engineering teams to support advanced analytics and reporting initiatives Implement best practices for data modelling, metadata management and data lineage Produce technical documentation including data architecture, pipeline design and data flow diagrams Support continuous improvement of data platforms through optimisation, automation … with Spark or distributed data processing frameworks Proven experience building and maintaining data pipelines, data lakes and data warehouses Strong understanding of data modelling, metadata management and data governance principles Experience working with large-scale distributed data systems and high-volume datasets Familiarity with CI/CD, version control ...

cloud-based data platforms (AWS, Azure, or GCP) Strong knowledge of data modelling (conceptual, logical, physical) and data lake design Experience with data cataloguing, metadata management, and governance tools Understanding of data security, privacy, and access frameworks Excellent stakeholder management and leadership skills Desirable: Cloud certifications (AWS, Azure, GCP) Experience ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

Core Skills Required Extensive Informatica experience (IICS/PowerCenter/IDMC) across design, build, integration, and deployment Strong background in Data Governance , including: Enterprise metadata management Data lineage setup and optimisation Data quality rules, profiling, and stewardship workflows Policy framework implementation Governance operating model support Experience working with Informatica Data ...

integration tools and patterns (OIC, APIs, FBDI, ETL). Proven delivery of large‐scale data migration. Strong grounding in data governance, quality, and metadata practices. Able to explain complex data concepts and influence stakeholders. Experience designing analytics and semantic models. Familiarity with cloud data platforms and modern data architecture. Awareness ...

environment. The ideal candidate will have: Strong commercial experience designing or embedding data governance frameworks. Hands-on experience with cloud-based governance tools and metadata-driven approaches. Good understanding of GCP (Dataplex, BigQuery) or similar platforms; Azure Purview exposure is a bonus. Familiarity with SQL and the impact of governance ...

role will involve hands-on data analysis, data preparation and visualisation, as well as supporting essential activities such as data cleansing, validation and improving metadata and information asset records. You will collaborate closely with technical teams, business SMEs and project colleagues to ensure data is accurate, reliable ...

customer-centric mindset, ensuring that data services meet and exceed user expectations while maintaining compliance and efficiency. Strong understanding of data governance, data quality, metadata, and master data management, including experience with relevant tooling. Deep knowledge of regulatory requirements and financial reporting. Commitment to leadership development themes such as: Empowerment ...

customer-centric mindset, ensuring that data services meet and exceed user expectations while maintaining compliance and efficiency. Strong understanding of data governance, data quality, metadata, and master data management, including experience with relevant tooling. Deep knowledge of regulatory requirements and financial reporting. Commitment to leadership development themes such as: Empowerment ...