City of London, London, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »
Manchester, North West, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake more »
Penrith, Cumbria, United Kingdom Hybrid / WFH Options
Computer Futures
in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge more »
big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/ more »
and optimising data management processes. Experience required At least 3 Years Data Architect experience/similar Strong understanding of data warehousing, data modelling and metadata management Experience with ETL pipelines, database design principles, data visualisation tools e.g., Power BI Cloud-based technologies (AWS/GCP/Azure/Cosmos) Knowledge more »
have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/Big Data/EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue) Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB). Capable of communicating data concepts to varied forums and audiences (including business and technology more »
Sunderland, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
SCS Sofas
Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run and maintain a cost-effective Azure Cloud reporting infrastructure Work closely with security, data protection and compliance teams to ensure more »
data model's integrity, accuracy, and compliance. You will support the development and adherence to data governance policies, focusing on data quality, lineage, and metadata management to uphold the data assets' integrity and reliability. Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. Conduct exploratory more »
and mentoring for team members through formal and informal methods. SERVICE ESSENTIAL FUNCTIONS Facilitates gathering and documenting requirements, business rules, source to target mapping, metadata capture and decomposes high-level business and user requirements into complete, concise and consistent functional requirements suitable for use by the developer. Leads the design more »
final recommendation. Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data, and multi-media, ETL, ESB). Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure more »
document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »
document the processes clearly. Experience with data architecture and design patterns. Experience managing a data model repository. Experience with coordinating data modelling activities with metadata management. Knowledge of data profiling tools and techniques. Experience with data management and governance principles. Must be able to provide design options, alternatives and recommendations more »
solution architecture, service-oriented architecture (SOA), data architecture, performance scaling, cloud computing, data governance, data quality management, application integration, business intelligence, data warehousing and metadata management from ideation to deployment. • Experience with major cloud platform-AWS. • Experience in Informatica IDMC (CDI and CAI). • Ebsuring Engineering practices are followed • Excellent more »
Enterprise Data Architect, particularly within large, complex organizations. Expertise in data integration, data management, and data consumption techniques. Strong background in data quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning more »
geo-enabled applications and graph database structures, using knowledge of various data formats including XML, JSON, flat file, Parquet etc. You can also manage metadata across your development teams systems and beyond, with a practitioner knowledge of tracking data provenance and data lineage. You’ll work to agreed and recognised more »
fields relevant to Enterprise Data Management, such as Databases, Data Engineering, Data Science, Data Mesh, Data Fabric, Feature Engineering, Data Quality, Data Governance and Metadata Management, Data Catalogs, and Data Privacy and Security. Strong written and verbal communication skills Bachelor's degree or equivalent experience in a relevant discipline At more »
on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Person Specification Required Demonstrable experience of working with Databricks Demonstrable experience with and knowledge of Azure components - Azure Data Factory, Azure more »
stakeholders Requirements and skills At least 8 years of work experience, with 2 years in a similar role Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration Strong computer science background and knowledge of software development methodologies Excellent knowledge of SQL Programming experience in a more »
standards. Excellent analytical, problem-solving, and communication skills. Certification in Azure or related technologies (e.g., Microsoft Certified: Azure Data Engineer Associate). Experience with metadata management and data cataloging. Familiarity with data privacy and protection regulations more »
standards. Excellent analytical, problem-solving, and communication skills. Certification in Azure or related technologies (e.g., Microsoft Certified: Azure Data Engineer Associate). Experience with metadata management and data cataloging. Familiarity with data privacy and protection regulations more »
opportunities for process improvements and provide recommendations to enhance data governance initiatives. Stay updated with industry trends and best practices in data governance and metadata management. Analyse information security risks and address issues of non-compliance. Required Skills & Qualifications: 2+ years' experience with Microsoft Purview or previous iterations live Azure more »
external release of information requests, and intra[1]company data related transfers. * Actively review data architectures and content to find innovative ways to enhance metadata consistency & connectivity, port transactional workflows to MSP functions, and reduce cost where possible. * Collaborate globally with other regional TDC centers to ensure process consistency, improvement more »
data engineering working with multi-TB scale data solutions implementing cloud-based data and analytics solutions implementing and operating within robust data governance principles – metadata, discovery, tagging and classification, quality, catalogues, inventory and data lineage Technical Skills – Deep hands on experience with the following data technologies: Stack including, Azure Data more »
