collection, transformation, data integration and data analytics solutions • Providing expertise and support across the enterprise information framework, including data intake, data transformation, data quality, metadata and master data management, data virtualisation, data governance, data lineage, data services, data security and data lakes.• Lead technology consulting engagements, solution workshops and due 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 »
Data Fusion, Data prep, etc.) to build solutions for our customers Experience in Spark (Scala/Python/Java) and Kafka. Experience in MDM, Metadata Management, Data Quality and Data Lineage tools. E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management. E2E Solution Design skills - Prototyping, Usability more »
Data Fusion, Data prep, etc.) to build solutions for our customers Experience in Spark (Scala/Python/Java) and Kafka. Experience in MDM, Metadata Management, Data Quality and Data Lineage tools. E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management. E2E Solution Design skills - Prototyping, Usability 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 »
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 »
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 »
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 »
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 in core architecture. Proficiency in providing advisory on architectural patterns. Experience 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 »
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Morgan Stanley
financial product knowledge. Experience with regulatory reporting or BCBS 239 would be advantageous. Understanding and experience of good governance, preferably data governance. Experience with metadata management tooling would be beneficial but is not necessary (e.g.: Collibra, MetaCenter, Solidatus). We offer: The opportunity to work in the Finance department of 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 »
of successfully executing projects across diverse business sectors, stakeholder dynamics, procedural intricacies, and technological hurdles. Expertise in business analysis, data management encompassing quality assurance, metadata oversight, data structuring, and governance. Proficiency in SAS or Python to extract insights and drive informed decision-making. Familiarity with AWS. Exceptional proficiency in both more »
