Moro Tech was looking for a Data Quality Project Manager

🚀 Eager to Create Change? Discover MORO TECH! MORO TECH is a technological organization with an international workforce dedicated to enabling business success through transformative solutions, insight-driven strategies, and profound technological understanding. Envision collaborating with a team working alongside a premier global Original Equipment Manufacturer while revolutionizing industry dynamics. Here, your perspectives aren't merely accepted - they're crucial! We celebrate innovation, appreciate varied viewpoints, and cultivate an environment where every contribution matters. If you're motivated by meaningful work and professional development in a dynamic environment, let's connect! The Role's Significance: As a Data Quality Project Manager, you'll spearhead critical initiatives ensuring data accuracy, reliability, and regulatory compliance within the automotive and mobility landscape across Europe. By managing cross-functional projects and maintaining comprehensive data excellence, you'll establish confidence in systems defining future connected and electric vehicle technologies. By overseeing data quality programs aligned with R-OBD frameworks and driving compliance for regulatory initiatives like the EU Data Act, your expertise will directly shape operational strategies for a leading global manufacturer in an increasingly data-centric industry. Typical Daily Responsibilities: - Coordinate data quality projects across stakeholders, ensuring timely delivery - Validate vendor data against rigorous quality standards - Develop automated data quality assurance frameworks - Execute comprehensive testing using authentic vehicle systems and real-world data - Monitor and resolve data quality challenges - Collaborate with cross-functional teams to prioritize project milestones - Integrate data quality practices into business intelligence systems - Support broader data-related regulatory compliance efforts - Manage regulatory interactions regarding R-OBD mandates - Partner with internal and external teams to enhance data processes Candidate Requirements: - Advanced degree in Computer Science, Data Science, or related field - Minimum 5 years experience in data engineering/quality roles - Proven project management expertise - Advanced data analysis and scripting capabilities - Proficiency with DataFrames and quality assurance platforms - Comprehensive understanding of regulatory compliance - Experience with BI systems and testing methodologies - CI/CD tool expertise - Project management certifications preferred - Exceptional problem-solving skills - Strong communication abilities - English language fluency - Collaborative team orientation - Technological curiosity and adaptability Comprehensive Benefits: - Competitive compensation with performance-based growth - Annual salary reviews - Monthly meal allowances - Premium healthcare coverage - Additional vacation time - Annual skill development budget - Advanced technological equipment - Structured professional development - Flexible work arrangements - Location-independent work culture Our Fundamental Principles: - Culturally adaptive and agile - Comfortable with uncertainty - Passionate about achievements - Committed to diversity and individual expression