Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯
Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯
london (city of london), south east england, united kingdom
Radius
Data Strategy Define and lead enterprise wide data strategy Design and maintain a scalable, secure data architecture Deep understanding of Data Governance, Modern data platforms: Cloud Data quality Management, metadata, lineage and data modelling Experience with Data integration, master data management (MDM) and designing scalable data pipelines Data Privacy, regulatory compliance, and security best practises BI Tools Power BI, Tableau More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Precise Placements
transactional, analytical, and operational systems Architect solutions for data lakes, warehouses, and master data management (MDM) Establish reference architecture for data ingestion, transformation, storage, and consumption Champion data quality, metadata, and governance standards (including GDPR compliance) Provide architectural oversight on multi-cloud and hybrid environments Collaborate with stakeholders to enable data-driven decision-making and new revenue streams Skills & Experience More ❯
and advanced analytics, focusing on architectural integrity rather than hands-on coding. Ensuring Governance & Quality Establish Strong Data Governance: Partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance: Integrate information security standards and FDJ United's compliance framework into every data More ❯
data from SAP (e.g., S/4HANA, BWS/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). * Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. * Optimize data pipelines and transformation logic using SAP SAC's capabilities to support real-time and batch More ❯
data from SAP (e.g., S/4HANA, BWS/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). * Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. * Optimize data pipelines and transformation logic using SAP Datasphere's capabilities to support real-time and batch More ❯
principles of data modelling Re-engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business More ❯
South West London, London, England, United Kingdom Hybrid / WFH Options
Bennett & Game Recruitment
Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of More ❯
Westminster, London, City of Westminster, United Kingdom Hybrid / WFH Options
Bennett and Game Recruitment LTD
Analytical Data Engineer Job Requirements Essential 2-5 years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of More ❯
and OneLake architecture, ensuring scalability, performance, and security. Oversee data ingestion, transformation, and modelling, integrating both internal and external datasets. Maintain and enforce data governance frameworks, including KPI definitions, metadata management, and GDPR/compliance adherence. Embed ethical AI and responsible data practices, ensuring transparency, fairness, and explainability in AI models. Reporting, Visualisation & Advanced Analytics Lead the design and delivery More ❯
Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient More ❯
implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Become
of BCBS239, risk and finance data structures, and data governance best practices Proven experience influencing and engaging senior stakeholders across complex organisations Strong working knowledge of data quality, profiling, metadata management, and governance tools (Collibra preferred) Analytical mindset with the ability to challenge constructively and solve problems creatively Experience working in Tier 1/Tier 2 banking, with a solid More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Snap Analytics
client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging insights to shape innovative solutions More ❯
ETL workflows. Develop and optimise relational and non-relational database systems. Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions. Implement and maintain data governance and metadata frameworks. Ensure data security, integrity, and compliance with regulations such as GDPR. Contribute to data architecture design and enterprise data strategy. Lead technical data planning within change programmes. Explore and More ❯
understanding of the trade and portfolio management lifecycle, operations, compliance, risk, and attribution reporting. Demonstrated experience in data management, including DQ value, processes, tools, and related activities (data governance, metadata, data standards, data aggregation). A collaborative, team-oriented mindset with a passion for continuous learning and innovation. Experience presenting to and influencing executive-level stakeholders and contributing to enterprise More ❯
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
South West London, London, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What More ❯
