{"id":3878095,"url":"https://alion.io/job/ntt-data-azure-microsoft-fabric-data-engineer","title":"Azure & Microsoft Fabric Data 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":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":93,"open_postings":110,"ghost_share":0,"stale_share":0.473,"repost_share":0.027,"time_to_fill_p50_days":18,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"dbt","optional":true},{"name":"Gmail","optional":true},{"name":"Great Expectations","optional":true},{"name":"Power BI","optional":true},{"name":"Spark","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-11-06T17:13:43Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T23:14:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we are\nWe are looking for a hands-on DataOps and Data Quality Engineer who can combine Microsoft Fabric engineering with automated data quality, monitoring and operational reliability. The role is primarily technical and focuses on turning governance and quality requirements into automated controls, observability and robust platform processes while remaining flexible enough to support broader data engineering activities when required.\nWhat you'll be doing\nDesign and implement automated data quality controls within Microsoft Fabric to ensure reliable and trustworthy reporting data\nTranslate data quality and governance requirements into executable validation rules, monitoring checks and quality gates\nBuild automated checks for data freshness, completeness, duplicates, schema changes, data volumes, key-field validity and other agreed business rules\nDevelop centralized monitoring and logging for pipeline runs, source arrival times, row counts, errors and data quality results\nCreate alerting and operational views to identify missing data, abnormal volume drops, failed loads and broken dependencies before they impact KPI reporting\nDefine reusable quality gate patterns and automated actions such as warnings, quarantine, reprocessing and escalation\nSupport and improve Microsoft Fabric pipelines, Dataflows Gen2, notebooks and SQL/Python-based processes\nImplement robust pipeline patterns including retries, incremental loads, backfills, error handling and controlled reprocessing\nSupport ingestion from APIs, files, ADX/Kusto and other enterprise data sources when required\nEmbed data quality controls across ingestion, transformation and curated-data layers rather than relying on manual validation\nApply configuration-driven engineering patterns, environment separation, Git/CI/CD and deployment best practices\nTroubleshoot data and pipeline incidents, perform root cause analysis and support controlled recovery\nDocument thresholds, dependencies, data contracts, runbooks and recovery procedures\nCollaborate closely with Data Governance, Data Architecture, Data Engineering, Semantic Model and BI teams to improve overall platform reliability\nWhat you'll bring along\n3+ years of professional experience in Data Engineering, DataOps, Data Quality Automation, Analytics Engineering or a related back-end data role\nHands-on experience with Microsoft Fabric or Azure data platforms\nStrong practical experience with Microsoft Fabric components such as Pipelines, Dataflows Gen2, Lakehouse/Warehouse, notebooks and SQL-based processing\nExperience implementing automated data quality checks, monitoring, logging, alerting or operational controls around production data pipelines\nStrong SQL skills and working knowledge of Python and/or PySpark for validation, automation and data transformation\nExperience supporting API, file, database or enterprise-source ingestion\nGood understanding of error handling, incremental loads, retries, backfills and controlled reprocessing\nStrong troubleshooting and root cause analysis skills\nStructured approach to documentation and operational procedures\nAbility to work effectively across Governance, Architecture, Data Engineering and BI teams\nGood English communication skills\nNice to have\nExperience integrating ADX/Kusto with Microsoft Fabric or Power BI\nExperience with Azure Data Factory, Azure Functions, Eventstream, CDC or mirroring patterns\nExperience with data testing or observability frameworks such as dbt tests, Great Expectations, Soda or similar tools\nExperience with Git, CI/CD, environment promotion and automated deployment practices for data assets\nKnowledge of Microsoft Purview, lineage, metadata management, sensitivity labels or enterprise governance tooling\nExperience working in production reporting environments with strong operational and reliability requirements\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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