{"id":2693951,"url":"https://alion.io/job/ntt-data-microsoft-fabric-dataops-engineer","title":"Microsoft Fabric DataOps Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Gmail","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"WhatsApp","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T12:55:39Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Who we are\nWe are looking for a DataOps / Quality Framework Engineer to design, build, and maintain the technical framework that enables automated data quality controls, source freshness monitoring, pipeline alerting, completeness validation, and operational logging across our data platform ecosystem.\nThe role is focused on establishing and evolving scalable DataOps capabilities within Microsoft Fabric, ensuring data products are reliable, observable, and governed through automated quality and monitoring frameworks. The engineer will work closely with Data Engineering, Analytics, Architecture, Platform, DevOps, and business teams to implement robust controls that improve trust, transparency, and operational excellence across enterprise data pipelines.\nThe successful candidate will combine strong engineering expertise with a proactive approach to data quality, observability, automation, and operational monitoring, helping teams identify and resolve data issues before they impact downstream consumers.\nWhat you'll be doing\nAnalyze data platform requirements and design scalable frameworks for automated data quality and operational monitoring\nBuild and maintain data quality controls, validation rules, completeness checks, and reconciliation processes across data pipelines\nDevelop source freshness monitoring solutions to ensure timely and reliable data delivery\nImplement pipeline alerting, operational logging, exception handling, and incident notification mechanisms within Microsoft Fabric\nDesign and develop reusable monitoring and observability components using SQL, Python, and PySpark\nIntegrate quality frameworks with enterprise monitoring platforms, APIs, and notification services\nCreate automated anomaly detection, threshold-based alerting, and data health scoring capabilities\nEstablish monitoring standards, operational dashboards, and reporting for data reliability and platform performance\nCollaborate with Data Engineers and Platform teams to embed quality controls into data ingestion, transformation, and delivery processes\nTroubleshoot data quality incidents, perform root cause analysis, and drive continuous improvements to operational resilience\nWhat you'll bring along\nBSc/MSc in Computer Science, Information Systems, Data Engineering, or a related field\n6+ years of experience in Data Engineering, DataOps, Data Quality, or related data platform roles\nStrong hands-on experience with Microsoft Fabric, data pipelines, notebooks, and data integration services\nAdvanced SQL skills and practical experience developing data validation and monitoring solutions\nStrong programming experience with Python and PySpark\nExperience implementing data observability, monitoring, alerting, and operational logging frameworks\nKnowledge of data quality concepts including completeness, accuracy, consistency, timeliness, reconciliation, and validation controls\nExperience integrating APIs, monitoring platforms, and enterprise notification services\nFamiliarity with CI/CD practices, source control, automation, and DevOps principles for data platforms\nStrong analytical, problem-solving, and troubleshooting capabilities\nExcellent communication and stakeholder management skills\nProfessional English proficiency\nExperience building scalable, automated frameworks that improve data reliability, governance, and operational excellence across enterprise environments\n\nDocument\n\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. If you suspect any fraudulent activity, please contact us.\nNTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.\nNot the job for you? Perhaps you have a friend who would be a perfect fit. Send them this link!\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nMake this the place you grow\nYour unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.\n\nDocument\n\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. 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