Overview
We are seeking a Quality Assurance Engineer to lead the definition, implementation, and maintenance of our Data Quality Assurance Framework , with the aim of ensuring that the organisation’s data flow is reliable, complete, and accurate. The selected candidate will play a key role in building processes, controls, and standards to guarantee the quality of data used across our software ecosystem.
Responsibilities
- Define key data quality metrics and indicators (KPIs) : accuracy, completeness, consistency, timeliness, uniqueness, and validity.
- Design, document, and implement the Data Quality Assurance Framework .
- Implement the processes for continuous data validation, auditing, and monitoring.
- Coordinate the detection, reporting, and resolution of data quality issues.
- Evaluate, design, and integrate automated data quality validation and monitoring tools.
- Collaborate with Data Engineering, Business Intelligence, and Operations teams to integrate quality standards into the data lifecycle.
Requirements
Proven experience in data quality projects ( min. 2–3 years ).Knowledge of data governance, management, observability, and quality concepts.Basic knowledge of relevant programming languages (SQL, Python, etc.).Experience with Linux shell (grep, ssh / scp, etc.).Experience with HTTP connection tools (Postman, curl, etc.).Experience with relational and NoSQL databases.Experience with testing / validation frameworks (Selenium, Cucumber, etc.) and monitoring tools (Kibana, Grafana, etc.).Experience with AI tools.Ability to define data quality metrics and reports.Analytical skills and attention to detail.Advanced level of English.Soft Skills
Clear and effective communication for interaction with technical and business areas.Problem-solving orientation and continuous improvement mindset.Organisation and priority management in complex projects.Proactivity and leadership in cross-functional initiatives.Academic Background
University degree in Computer Engineering, Mathematics, Statistics, Information Systems, or similar.Certifications in Data Management or Data Quality (desirable, not essential).We Offer
Opportunity to design and implement a data quality framework from scratch.Work in an inspiring and multicultural environment.Professional development in digital transformation and advanced analytics projects.Flexible working arrangements (remote / hybrid, according to company policy).#J-18808-Ljbffr