{"id":3597996,"url":"https://alion.io/job/accenture-microsoft-fabric-data-engineer","title":"Microsoft Fabric Data Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2115,"ghost_share":0.001,"stale_share":0.165,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":94000,"period":"year","method":"role_country_seniority_unknown","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Task\nDesign and implement data fabric architecture across heterogeneous data sources and platformsDevelop scalable ETL/ELT pipelines for batch and real-time data integrationIntegrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systemsImplement metadata management, data cataloging, lineage, and data discovery capabilitiesBuild data-access and integration services using APIs, event streaming, and distributed processingEstablish data quality, validation, observability, and monitoring frameworksImplement data governance, security, access controls, and compliance requirementsWork with cloud technologies such as AWS, Azure, or Google CloudOptimize data pipelines and processing workloads for performance, scalability, and costExpectation\n5+ years of experience as a data engineer or similar with significant exposure to cloud-based data platforms and modern data architecturesStrong understanding and practical experience with data modeling, data warehousing / lakehouse architecture such as dimensional modeling, star/snowflake schemas, Delta Lake / LakehouseProven track record in data governance, metadata management, and ensuring data quality at scaleSolid experience in performance optimization and troubleshooting of data processing jobs / pipelines using Spark/DatabricksExcellent programming and query skills including strong SQL and Python or another relevant languageStrong analytical and problem-solving skills with ability to think at both micro and macro levelsExcellent communication skills for explaining complex technical issues to non-technical stakeholders and collaborating across teamsSelf-motivation, responsibility, and capability of working independently and as a technical leader in a structured data platform environmentOther\nWhat we offer\nParticipation in full-cycle and diverse international projectsOpportunity to work as a specialist or manager/team leadConstant career development with internal mentorshipAccess to a whole set of learning platforms and paid certificationsFlexible working conditions including home workingAttractive base salary and wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount priceCompany details:\nAccenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. 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