of Work basis, ideally we would prefer candidates with experience working to those arrangements. Essential skills: AWS Data Engineering Snowflake Databricks Responsibilities: Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Scientists, and Business Analysts to ensure data availability and usability. Implement data quality checks, validation routines, and monitoring to ensure More ❯
Wokingham, Berkshire, South East, United Kingdom Hybrid / WFH Options
Stackstudio Digital Ltd
engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data privacy and security standards. Implement secure data sharing protocols with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Altum Consulting
SAP Datasphere, BW, SAC, and finance systems. Oversee system administration, SAC access, segregation of duties, and SAP GRC/MDG compliance. Participate in data governance, master data management, and metadata initiatives. Provide first-line testing, training, and documentation for finance users. Identify opportunities to streamline finance processes and optimize system performance. Support monthly financial close and ensure reconciliations are accurate. More ❯
goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future More ❯
knowledge of relational and OLAP modelling principles. Advanced SQL and PL/SQL skills (Oracle 11g/12c or later). Familiarity with data profiling, data quality assessment, and metadata management. Experience identifying and implementing improvements in data warehouse performance, structure, and scalability. More ❯
programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work More ❯
medium to another, where appropriate. Understands the relevant organisational policies and procedures and operates to ensure the data is presented effectively. Influences and maintains the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Has defined authority and accountability for actions and decisions within a significant area of work, including technical, financial and quality aspects. Establishes More ❯
tools such as PowerDesigner , IBM InfoSphere Data Architect , or Oracle SQL Developer Data Modeler . Ability to communicate effectively with both technical and non-technical stakeholders. Desirable: Experience in metadata management or data governance frameworks. Familiarity with physical data modelling and database design Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to More ❯
scientific data engineering, with demonstrable experience across the following areas:?? They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: - Building a next-generation, metadata- and automation-driven data experience for scientists, engineers, and decision-makers, increasing More ❯
