{"id":4048539,"url":"https://alion.io/job/yellowipe-data-quality-engineer","title":"Data Quality Engineer","company":{"id":4374582,"name":"YellowIpe","domain":"yellowipe.io","url":"https://alion.io/company/yellowipe","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-10T00:00:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About YellowIpe\nOur 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.\nJoin the yellow team as our new Data Quality Engineer!\nResponsibilities\nDesign, implement, and continuously improve data quality controls for Sales and Finance data products, ensuring completeness, accuracy, consistency, validity, timeliness, and uniqueness.\n\nTranslate business requirements into measurable data quality rules, automated tests, monitoring processes, and alerting mechanisms.\n\nDevelop and maintain data quality dashboards, scorecards, issue logs, and performance indicators to ensure transparency across business functions.\n\nInvestigate data anomalies, perform root-cause analysis, and collaborate with data owners and engineering teams to implement sustainable solutions.\n\nIntegrate automated data quality checks into data pipelines and development workflows, preventing data issues from impacting reporting, analytics, and AI applications.\n\nDefine and maintain critical data elements, validation standards, quality thresholds, ownership responsibilities, and escalation procedures.\n\nCollaborate with Sales and Finance stakeholders to ensure the reliability of customer, lead, revenue, pricing, cost, profitability, and financial reporting data.\n\nContribute to data governance practices, engineering standards, technical documentation, and reusable data quality components.\n\nRequirements\nDegree in Computer Science, Data Engineering, Business Informatics, Mathematics, Finance, Industrial Engineering, or a related field.\n\nSeveral years of professional experience in Data Quality Engineering, Data Engineering, Analytics Engineering, or a similar role.\n\nStrong SQL skills and hands-on experience in data profiling, validation, reconciliation, automated testing, and root-cause analysis.\n\nExperience with modern cloud data platforms and data pipelines, preferably Snowflake.\n\nKnowledge of data modelling, data transformation frameworks, and data quality monitoring practices.\n\nSolid understanding of data governance principles, metadata management, data lineage, and quality standards.\n\nUnderstanding of Sales and Finance processes, including customer management, revenue, pricing, costs, profitability, and financial reporting.\n\nExperience with scripting or programming languages, preferably Python.\n\nFamiliarity with version control, CI/CD practices, and automated deployment processes.\n\nPractical experience using AI tools to support data profiling, anomaly detection, root-cause analysis, documentation, and data engineering activities.\n\nStrong analytical and problem-solving skills, attention to detail, and the ability to translate business requirements into testable technical rules.\n\nExcellent communication and collaboration skills in international, cross-functional environments.\n\nVery good English communication skills.\n\nNice to Have\nExperience with Snowflake in enterprise data environments.\n\nKnowledge of German or another European language.\n\nWhat You Can Expect\nHealth insurance.\n\nContinuous learning and professional development opportunities.\n\nAn international and collaborative working environment.\n\nFlexible working hours.\n\nApply now and join the yellow team!\n\nCandidatura: Ver a vaga e candidatar-me na YellowIpe","description_format":"text","description_chars":3449,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-11-11T00:56:40Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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