Group Data Quality Engineer (Sales & Finance)

Location: Remote

Company

hirify.global supports an international group through a decentralised BI platform that enables data-driven decisions, self-service analytics, machine learning, and visual analytics.

What you will do

• Design, implement, and improve group-wide data quality controls for Sales and Finance data products across completeness, accuracy, consistency, validity, timeliness, and uniqueness.
• Translate business requirements into measurable quality rules, automated tests, monitoring, and alerting.
• Build and maintain data quality dashboards, scorecards, issue logs, and service-level indicators across countries and business functions.
• Investigate anomalies and recurring issues, perform root-cause analysis, and coordinate sustainable remediation with data owners, source-system teams, and data product teams.
• Embed automated checks into data pipelines and development processes to prevent defects from reaching reports, analytics, and AI use cases.
• Maintain critical data elements, validation standards, quality thresholds, ownership, escalation paths, documentation, and reusable quality components within the group data governance framework.

Requirements

• Degree in computer science, business informatics, data engineering, mathematics, finance, industrial engineering, or a comparable field.
• Several years of practical experience in data quality, data engineering, analytics engineering, or a comparable data-focused role.
• Strong SQL skills and hands-on experience with data profiling, validation, reconciliation, root-cause analysis, and automated testing.
• Experience with modern cloud data platforms and data pipelines, ideally Snowflake, including data modelling and transformation frameworks.
• Knowledge of data quality dimensions, controls, monitoring, metadata, lineage, and data governance principles.
• Understanding of Sales and Finance processes and data, including customer and lead management, revenue, pricing, costs, profitability, planning, and financial reporting.
• Experience with scripting or programming, preferably Python, plus version control and continuous integration and deployment practices.
• Ability to convert complex business definitions into clear, testable rules.
• Practical experience using AI tools for data profiling, quality analysis, anomaly detection, root-cause analysis, documentation, and data engineering delivery.
• Very good English skills required.

Nice to have

• German or another European language.

Culture & Benefits

• Fully remote work within an international, decentralised BI Platform Team.
• Collaboration across business functions, countries, and technical teams.
• Work on group-wide Sales and Finance data products covering the full business lifecycle.
• Opportunity to contribute to shared engineering standards, documentation, and reusable data quality components.