Join the team as our current Analytics Engineer (Quality) – India
You will be responsible for building and evolving the frameworks that ensure trust, reliability, and accuracy across our modern data platform. Working closely with Analytics Engineers, Data Engineers, and Data Analysts, you will design intelligent data quality, testing, monitoring, and alerting frameworks that protect critical business processes and KPIs while enabling scalable and reliable data products.
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What You'll Do:
Build & Evolve Data Quality Frameworks
Design, implement, and continuously improve data quality frameworks across the data platform.
Build and maintain automated data quality tests, validation controls, monitoring frameworks, and source freshness checks throughout the data lifecycle.
Establish quality standards and practices that can be consistently adopted across the organisation.
Embed data quality controls throughout the data development lifecycle to improve reliability before issues reach production.
Develop Intelligent Testing, Monitoring & Anomaly Detection
Develop statistical checks and anomaly detection techniques to identify unexpected changes in data and business metrics.
Design intelligent testing approaches that balance rigorous quality standards with pragmatic operational practices.
Identify and distinguish between minor data inconsistencies and data quality incidents requiring immediate action.
Continuously improve monitoring approaches to maximise data reliability while minimising unnecessary alerts and alert fatigue.
Design Alerting & Incident Management Processes
Design alerting and notification frameworks that prioritise data quality issues based on business impact.
Establish incident management processes for responding to critical data quality issues.
Investigate data quality incidents and perform end-to-end root cause analysis across ingestion, transformation, and reporting layers.
Translate technical data quality issues into clear business impact and actionable im