About YellowIpe
Our mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey.
Join the yellow team as our new Data Quality Engineer!
Responsibilities
Design, implement, and continuously improve data quality controls for Sales and Finance data products, ensuring completeness, accuracy, consistency, validity, timeliness, and uniqueness.
Translate business requirements into measurable data quality rules, automated tests, monitoring processes, and alerting mechanisms.
Develop and maintain data quality dashboards, scorecards, issue logs, and performance indicators to ensure transparency across business functions.
Investigate data anomalies, perform root-cause analysis, and collaborate with data owners and engineering teams to implement sustainable solutions.
Integrate automated data quality checks into data pipelines and development workflows, preventing data issues from impacting reporting, analytics, and AI applications.
Define and maintain critical data elements, validation standards, quality thresholds, ownership responsibilities, and escalation procedures.
Collaborate with Sales and Finance stakeholders to ensure the reliability of customer, lead, revenue, pricing, cost, profitability, and financial reporting data.
Contribute to data governance practices, engineering standards, technical documentation, and reusable data quality components.
Requirements
Degree in Computer Science, Data Engineering, Business Informatics, Mathematics, Finance, Industrial Engineering, or a related field.
Several years of professional experience in Data Quality Engineering, Data Engineering, Analytics Engineering, or a similar role.
Strong SQL skills and hands-on experience in data profiling, validation, reconciliation, automated testing, and root-cause analysis.
Experience with modern cloud data platforms and data pipelines, preferably Snowflake.
Knowledge of data modelling, data transformation frameworks, and data quality monitoring practices.
Solid understanding of data governance principles, metadata management, data lineage, and quality standards.
Understanding of Sales and Finance processes, including customer management, revenue, pricing, costs, profitability, and financial reporting.
Experience with scripting or programming languages, preferably Python.
Familiarity with version control, CI/CD practices, and automated deployment processes.
Practical experience using AI tools to support data profiling, anomaly detection, root-cause analysis, documentation, and data engineering activities.
Strong analytical and problem-solving skills, attention to detail, and the ability to translate business requirements into testable technical rules.
Excellent communication and collaboration skills in international, cross-functional environments.
Very good English communication skills.
Nice to Have
Experience with Snowflake in enterprise data environments.
Knowledge of German or another European language.
What You Can Expect
Health insurance.
Continuous learning and professional development opportunities.
An international and collaborative working environment.
Flexible working hours.
Apply now and join the yellow team!
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