Advanced SQL and Metadata Expert
3 weeks ago
We are seeking a highly skilled Metadata and Data Quality Specialist to join our team at Sainsbury's. As a key member of our data management team, you will be responsible for driving and delivering the operational management of 'assured data' across the organisation.
Key Responsibilities- Manage the Group Data Catalogue: Ensure the day-to-day operational management of the Group Data Catalogue, fully exploiting its features and appreciating the technical setup and landscape.
- Improve Data Quality: Improve data quality within the organisation through profiling and rule implementation, measuring improvements in quality and identifying the value that delivers.
- Develop Data Quality Triage Processes: Develop and implement data quality triage processes to address quality issues, providing proposals for prioritisation by supplying impact statements and supporting key performance indicators.
- Implement Data Catalogue Processes: Create and implement data catalogue processes to allow users to work with data and artefacts in a standard approach, supporting rapid discovery, prototyping, and data science.
- Manage Data Ingestion: Identify appropriate artefacts for ingestion and ensure they are communicated, understood, and used by the Data Community.
- Maintain the Group Data Catalogue: Maintain the Group Data Catalogue up to date, removing unused, dormant, or outdated articles and data sources, and addressing any instances of non-compliance.
- Stay Up-to-Date with Data Catalogue Software: Ensure familiarity with the Data Catalogue software supplier(s), reviewing and recommending usage of functionality available within the latest versions.
- Facilitate Source System Data Quality Remediation: Facilitate source system data quality remediation, working with relevant owners and subject matter experts to drive through necessary actions.
- Coordinate with Data Ownership and Stewardship Community: Coordinate with the data ownership and stewardship community to drive appropriate data quality improvements, surfacing this through a data cataloguing capability.
- Prioritise Work and Manage Time Effectively: Prioritise work (3 to 6 months forward planning), manage time effectively, and complete tasks within agreed timeframes.
- Identify and Address Data Quality Issues: Identify, undertake root cause analysis, addressing real and perceived issues with data quality, providing appropriate recommendations.
- Advanced SQL Skills: Advanced SQL skills are essential for this role.
- Strong Knowledge of Data Quality Tools and Technologies: Strong knowledge of the tools, technologies, skills, and processes required to deliver a great data quality capability.
- Metadata, Stewardship, Ownership, and Cataloguing Knowledge: Well-versed and able to demonstrate the concepts of metadata, stewardship, ownership, cataloguing, and data quality.
- Experience with Data Cataloguing Capabilities: Experienced with working with or being the consumer of a Data Cataloguing capability, such as Alation, Collibra, or other.
- GitHub Working Knowledge: GitHub working knowledge is desirable.
- Reporting and Visualisation Skills: Previous experience of creating reporting and visualisations, using Tableau, Microstrategy, Power BI, or other.
- Data Vault Modelling Awareness: Awareness of Data Vault Modelling.
- Design and Development of Data Stores and Digital Solutions: Understanding of design and development of data stores, digital solutions, and data warehouses and associated toolsets.
- Data and Information Management Lifecycles: Knowledge and use of data quality methodologies, approaches, and processes.
- Mathematics and/or Science Discipline Degree: Degree in a Mathematics and/or a Science discipline.
- Triage, Root Cause Analysis, and Resolution Skills: How to undertake triage, root cause analysis, and resolution.
- JIRA and Agile Principles Understanding: Understanding of JIRA and Agile principles.
- Own It: Takes full accountability for data quality issues through to resolution.
- Make It Better: Identifies opportunities to improve data availability that is trusted.
- Be Human: Engaging with Senior Engineers and Architects to create standardised processes, builds great working relationships with colleagues (technical and non-technical), and shows care and respect to everyone.
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