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 »
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 »
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 »
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 »
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 »
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 »
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 »
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 »
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 »
