Lead the implementation and digitalization agenda in a cross-functional team of architects from business and technology Create the design pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise more »
Greenford, London, United Kingdom Hybrid / WFH Options
Brompton Bicycle
Extensive experience migrating on-premises data warehouses to the cloud. Proficiency with Spark, SQL, Python, R, and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Extensive knowledge of querying API systems. Extensive experience building and optimising ETL pipelines using Databricks. Understanding of data 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 »
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 »
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 »
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 »
haveMulti skilled experience in the concepts and delivery of Data Strategy & Governance. For example: Data Policies, Data Standards, Data Governance Framework, Data Quality Framework, Metadata Management, Master Data Management, Management Information and Data and Analytics.The ability to deliver data strategy & governance tasks as part of a wider framework.Project experience in 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 »
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 »
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 »
skilled in data visualization, able to create clear, understandable visualisations. Be able to utilise DevOps to manage delivery of data governance outcomes. Understand typical metadata management issues. Have technical and business analysis experience. Be an advocate for data quality and have an understanding of data quality improvement practices. Have a 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 »
on internal stakeholders and customers is understood Qualifications Who we're looking for: Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming Experience of Kimball modelling techniques to design databases & data warehousing solutions that more »
London, England, United Kingdom Hybrid / WFH Options
iO Associates - UK/EU
Minimum 2 years' experience with Collibra Data Catalog In-depth knowledge of data governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software more »
and best practice guidelines. Lead the development and execution of various data components, including reference and master data, data modelling and architecture, data quality, metadata, standardization of data, data linking, data sharing, and knowledge and information management. Promote the importance of data design, quality assurance, and control across the organization. more »
train other technical staff members Active participation in building enterprise standards and guidelines Researching Data architect industry trends Developing, implementing and maintaining a modular metadata strategy Data Profiling & Security. Documenting Data Lineage and Concerns related to data placement as per Client’s/Organization’s Standards. Sub Model Synchronization; Generating more »
London, England, United Kingdom Hybrid / WFH Options
Spectrum IT Recruitment
high-quality, accessible data models and stores, including full documentation of source and target maps; provide maintenance of an information and data catalogue and metadata repository; Generating information management testing and quality controls in both new and existing projects, and day to day operations. Knowledge and experience in NEC's more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
and meta-analysis software, gold standard machine learning ready datasets, and a highly customisable public cloud platform with distributed data warehousing technology for cross metadata queries. You will interact closely with the teams Biocurator for data coordination into the perturbation data portal, as well as with the wider Human Genomics more »
management of data governance frameworks. Manage the organisational data risks and issues Manage the data competencies within the organisation (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy) Experience: 3 + years’ experience working within a Data Governance related more »
refine and enhance data products iteratively, fostering continuous improvement. Support the development of a comprehensive business glossary encompassing data definitions, business logic, and other metadata to ensure clarity and consistency across data outputs. Knowledge/Experience Experience as a data product owner, project manager having delivered projects and set roadmaps more »
best practices for data coding to ensure consistency within the system. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Your Profile: Technical key skills/knowledge/experiences: A deep understanding of data structures, database management systems (DBMS), and the ability to design more »
Content Mapping and Information Architecture: Collaborate with UX designers and architects to map out content structures that support intuitive navigation. Develop content taxonomies and metadata schemas to enhance content findability and relevance. Accessibility and Inclusivity: Advocate for accessibility in content design, ensuring content is perceivable and operable by all users. more »