Luton, Bedfordshire, United Kingdom Hybrid / WFH Options
Stott and May
and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise MonteCarlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯
Luton, Bedfordshire, South East, United Kingdom Hybrid / WFH Options
Stott & May Professional Search Limited
and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise MonteCarlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯
luton, bedfordshire, east anglia, united kingdom Hybrid / WFH Options
Stott & May Professional Search Limited
and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise MonteCarlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯
bedford, east anglia, united kingdom Hybrid / WFH Options
Stott & May Professional Search Limited
and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise MonteCarlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯