logical, and physical data models to support the enterprise data strategy. Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls. Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to more »
logical, and physical data models to support the enterprise data strategy. Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls. Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to more »
platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions A good more »
the strategic roadmap. Act as a Subject Matter Expert, offering consultancy to the business and mentoring internal data teams. Ensure effective data governance, including metadata management, reference data management, and maintaining data estate reference architecture. Stay up-to-date with emerging trends, technologies, and best practices in the data and more »
writing and maintaining complex SQL queries Experience building data pipelines; ETL design, implementation, and maintenance Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lakes patterns, distributed systems) Spoken English Communication skills Sales/Pre-sales experience What's on Offer more »
business needs. Promote the adoption of the data architecture standard and guidelines with the engineering teams. Data Management: Maintain data documentation including data dictionaries, metadata, and high level data lineage. Ensure the data architecture is compliant with SIE Data Governance and Security policies. Integration Architecture: Define logical data flows. Reuse more »
business goals and deliver measurable value. What We're Looking For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and more »
platform conceptual, logical and physical models Proficient in leading small teams of architects/data modellers Demonstrate a good understanding of data integration tools, metadata repository tools and their use Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions A good more »
storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture more »
frameworks such as DCAM and DAMA DMBoK. Experience in key data-centric topics such as AI, GenAI, MLOps, Business Intelligence, Analytics, Master Data Management, Metadata Management, Data Governance, Data Mesh/Marketplace, Data Products. Knowledge of information management and policy topics such as GDPR/privacy and records management, BCBS239 more »
production of data models across Mintel, and the review processes that ensure their proper implementation. Collaborate with Data Architecture to lead glossary development and metadata cataloguing efforts for our data assets. Partner with our data enablement team to define the data structures for reference and master data, working with operational more »
all levels, from creation to disposition, including data governance, data analytics on context structural behavior, unstructured data and master data management, data architecture strategies, metadata management, graph databases, reference data, location data, spatial data, geohash data, and business-centric data modeling. You will create multiple domains of data across the more »
Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Tunstall Healthcare (UK) Ltd
SolarWinds DPA, Redgate, or native SQL tools. Experience with database security, including encryption, access control, and auditing. Strong knowledge of data governance and managing metadata (ideally for healthcare data). Required experience: Proven experience as a SQL DBA, with a strong track record of managing mission-critical databases. Experience in more »
/or business intelligence Experience/Requirements Solid expertise in many areas of data engineering, including: data modelling, ETL design and development, data and metadata managements., query design/development/tuning, database optimization, data governance, data quality, best practices Understanding of databases and data technologies including: traditional RDMBS, noSQL more »
/or business intelligence Experience/Requirements Solid expertise in many areas of data engineering, including: data modelling, ETL design and development, data and metadata managements., query design/development/tuning, database optimization, data governance, data quality, best practices Understanding of databases and data technologies including: traditional RDMBS, noSQL more »
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
Jet2.com
refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll more »
Modelling : Develop, maintain, and reverse-engineer data models to meet organisational needs. Data Standards: Create and analyse data standards, assessing the impacts of breaches. Metadata Management: Maintain accurate repositories and manage complex data/system integration tasks. Problem Solving: Investigate trends, consult experts, implement remedies, and propose preventive measures. Strategic more »
all things data including lifecycle, technologies, data-patterns, insights, analytics and machine learning, master and reference data management, integration, data warehousing, NoSQL, data quality, metadata, and data compliance. Outwardly looking with an excellent understanding of industry standard data strategies and trends alongside technologies and business models. Snowflake experience and certification more »
back-end systems, analytics platforms, CRMs) and across industry disciplines (e.g. data modelling and design, data quality, master and reference data, data standards, and metadata). You can work with people from a wide range of backgrounds, gathering and responding to feedback on your designs, and gaining buy-in. You more »
all things data including lifecycle, technologies, data-patterns, insights, analytics and machine learning, master and reference data management, integration, data warehousing, NoSQL, data quality, metadata, and data compliance. Outwardly looking with an excellent understanding of industry standard data strategies and trends alongside technologies and business models. Snowflake experience and certification more »
including lifecycle, technologies, data-patterns, domain-driven design, insights, analytics and machine learning, master and reference data management, integration, data warehousing, NoSQL, data quality, metadata, and data compliance. Alongside this, specific expertise in delivering Martech/CDP platform strategy including resolution of customer data, delivery of customer 360° data, marketability more »
agile/etc development methodology in fast-paced environment. Proficient with mapping and requirements analysis. Experience with testing data to support the business requirements. Metadata management and data integrity skills. Perform system and data analysis based on business need including integration testing and data quality validation. Create test plans, scripts more »
of data governance frameworks, policies, and best practices (DAMA-DMBoK or similar), or Design and implementation of data management processes such as data quality, metadata management, and master data management. Please apply anyway if you think the role is a good fit, even if you do not check all the more »
quality monitoring metrics and data quality rule creation. Operation and incremental build-out of the data platform using in-house and vendor data tools. Metadata analysis and data catalogue curation to support data discoverability. Day-to-day data subject matter expert support for the front office across various data sets. more »
