Data Engineer Bond street 50-70k ROLE OBJECTIVE This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success. There are opportunities for professional development, such More ❯
across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain … alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and … lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL DBML More ❯
across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain … alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and … lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL DBML More ❯
a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. 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 frameworks. Investigate and analyse data … within Risk and Finance functions. 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 data flow modelling. Ability to More ❯
a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. 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 frameworks. Investigate and analyse data … within Risk and Finance functions. 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 data flow modelling. Ability to More ❯
a robust and compliant data environment. Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. 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 frameworks. Investigate and analyse data … within Risk and Finance functions. 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 data flow modelling. Ability to More ❯
across the organisation. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity Catalog for metadata management and scalable data & analytics. Key responsibilities Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (as-is … alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and … lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL DBML More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
have an ethos of openness and transparency that will help us nurture real business innovation. Accountabilities & Responsibilities: Strong knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support and implement the clients Data Governance Framework across all identified Transactional Data Use Cases/Projects. Drives the data definition, governance and lineage … sponsors and key stakeholders Knowledge, Skills & Experience: Essential: Working knowledge of Transactional Data types and Products provided by the Bank. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯
initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance … to life the outcomes rather than just the steps to achieve them. Technical and Analytical Skills: Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures. Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. More ❯
years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support the Compliance Data Domain Lead in the planning and execution of the Data Governance Framework across all prioritised KDUs. Drive the data definition, governance … earn the trust of sponsors and key stakeholders Skills and Experience Essential: Knowledge of Banking Compliance functions and delivery expectations. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SMBC Group
years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support the Compliance Data Domain Lead in the planning and execution of the Data Governance Framework across all prioritised KDUs. Drive the data definition, governance … earn the trust of sponsors and key stakeholders Skills and Experience Essential: Knowledge of Banking Compliance functions and delivery expectations. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯
years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SMBC Group
years, and is expected to grow further over the next 2-3 years. Accountabilities and Responsibilities Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and … the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions, Transaction Monitoring, and Fraud framework, requirements and processes. Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions Understanding of data governance practices. Ability to think in an More ❯
and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms. Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). More ❯
and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms. Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). More ❯
Design, implement, and support a platform providing secured access to large datasets. • Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. • Model data and metadata to support ad-hoc and pre-built reporting. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Recognize and adopt best More ❯
compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning different business areas More ❯
SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform More ❯
SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform More ❯
SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform More ❯
data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with More ❯
and analytics platform solutions. Expertise in all things data including lifecycle, technologies, data-patterns, insights, analytics and machine learning, master and master data management, integration, data warehousing, data quality, metadata, and data compliance. Strong understanding of data governance and compliance requirements. Excellent communication and interpersonal skills, with the ability to engage effectively with various stakeholders. Any experience of Microsoft Fabric More ❯
