1 to 25 of 36 Metadata Jobs in Slough

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data Cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

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 ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

experience with Python and Pandas. Experience of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience supporting and working with cross-functional teams in a dynamic environment. Strong communication skills to collaborate with remote teams (US More ❯

Technology, Cloud Data Warehouse, and Data Lake platforms. Expertise in Data Governance practices, including leading solutions for Data Quality, Data Profiling, Data Catalog, and Metadata management strategy. Ability to multitask and juggle several responsibilities simultaneously. Strong written and verbal communication skills. Excellent organizational skills and attention to detail. Experience crafting More ❯

controls Experience creating and maintaining process documentation Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation Experience in using these technologies in a Production context: Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory More ❯

a strong understanding of document lifecycle management and workflow automation. Key Responsibilities Design and implement custom M-Files solutions to support business requirements. Configure metadata structures, classes, workflows, views, and permissions. Develop scripts using VBScript or other supported languages for automation within M-Files. Integrate M-Files with other business More ❯

years in a commercially led sales consulting role Strong understanding of data governance frameworks, best practices and trends Experience with data quality management, metadata management, and data linage Excellent communication and interpersonal skills Ability to work independently and as part of a team Knowledge of Varonis or Big ID Platforms More ❯

and traceability. AI & Advanced Analytics Integration: Collaborate with AI/ML teams to enable model training pipelines with robust and reliable data access. Leverage metadata and structured data modeling to support AI model explainability and audit trails. Guide engineering teams on best practices for cloud-based data handling, Terraform, and More ❯

management sector. What You’ll Bring: Expert-level T-SQL skills (Stored Procedures, Views, Triggers, UDFs) Deep understanding of SQL Server internals (indexes, statistics, metadata) Strong performance tuning and SQL refactoring expertise Experience with SQL CLRs, SSRS, and Power BI Excellent communication and a proactive mindset What You’ll Get More ❯

automation using CI/CD practices and infrastructure as code • Work with various data formats including JSON, XML, CSV, and Parquet • Create and maintain metadata, data dictionaries, and schema documentation Required Experience: • Strong experience with data engineering in a cloud-first environment • Hands-on expertise in AWS data stack, particularly More ❯

to the creation of innovative and well-tested data science solutions. Key Responsibilities: Lead the evaluation and meticulous documentation of R packages, including comprehensive metadata and user-focused use cases. Design and develop robust unit tests that adhere to best practices in R package development, advocating for and implementing rigorous More ❯

continuous delivery efforts. Required Skills & Experience 3–5 years of Salesforce development experience, including Lightning and Apex. Proficiency with Salesforce APIs (SOAP, REST, Bulk, Metadata). Strong problem-solving skills with the ability to work independently and in teams. Excellent communication skills and attention to detail. Salesforce Developer certification and More ❯

You'll Do: Enhance and support internal tools for vulnerability reporting, patch tracking, and automation Correlate vulnerability data from OS vendors with internal infrastructure metadata Work on backend data flows and frontend web portals that assist in configurations and approvals Integrate our services with APIs and other internal platforms Collaborate More ❯

are robust, scalable, and aligned to both client business objectives and industry best practices. This may include establishing data ownership models, quality controls, and metadata strategies. Act as the main point of contact for senior client stakeholders, facilitating workshops, providing regular status updates, and ensuring expectations are met or exceeded. More ❯

Support product launch content, FAQs, and feature highlight pages Format and proof content for consistency, clarity, and alignment with product messaging Assist with imagery, metadata, and basic SEO updates Performance Analysis: Track KPIs for social and email campaigns using standard templates Help prepare campaign wrap-ups, learnings, and performance summaries More ❯

assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance … Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business process and More ❯

Senior Data Architect (Azure) Insurance/ReInsurance Location: London Hybrid:3 Days a week Position Overview: As a Senior Data Architect, you will be responsible for designing, implementing, and optimising our data architecture/data lakehouse to support cloud-based More ❯

performance tracking Focus on driving traffic and rankings for core financial products (loans and credit cards) Optimise site structure, landing pages, blog content and metadata for SEO best practice Develop backlink strategies to improve authority and trustworthiness Monitor and report on performance across organic and paid channels, using GA, GSC More ❯

/B testing to optimise layouts, calls-to-action, and product presentation. SEO & Performance Optimisation • Implement on-page SEO best practices, including keyword optimisation, metadata, and image alt text. • Work on technical SEO improvements, ensuring site speed, mobile-friendliness, and proper indexing. • Use Google Analytics, Shopify analytics, and SEO tools More ❯

with a small, agile team committed to sustainability and decentralised innovation. Key responsibilities include: Developing ERC-20/1155-compatible smart contracts with embedded metadata (e.g., project ID, vintage year, verification body). Setting up a multi-node Besu network using IBFT 2.0 or QBFT consensus. Building minting and retirement More ❯