{"id":3324364,"url":"https://alion.io/job/beymen-data-engineer","title":"Data Engineer","company":{"id":2709499,"name":"Beymen","domain":"beymen.com","url":"https://alion.io/company/beymen","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleBox","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Istanbul, Turkey"],"countries":["TR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":102000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Informatica","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MicroStrategy","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"Pentaho","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAP HANA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-27T09:19:26Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T22:08:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"İş Tanımı\nResponsibilities\nCollaborate with BI Development, Business Units, Software Development and Data Science teams to understand data requirements\nBuild and maintain a high-performance, scalable modern data platform on Microsoft Fabric (Lakehouse, Warehouse, OneLake, Data Factory and Spark).\nDesign, build and maintain scalable and reliable data pipelines for ingesting and transforming data from multiple enterprise systems.\nMigrate existing Oracle DWH objects and legacy ETL jobs to Fabric-native pipelines and T-SQL\nBuild and maintain reliable data ingestion from SAP and other retail source systems (POS, e-commerce, ERP, WMS)\nDesign dimensional data models that serve Power BI semantic models efficiently\nDeploy data optimizations and rules to ensure data quality, consistency and accuracy\nMonitor and optimize data storage, query performance and pipeline execution to ensure scalability, reliability and cost efficiency.\nEnsure best practices and standards are followed in all data engineering tasks\nRequired Qualifications\nBachelor's degree in Computer Science, Computer/Software Engineering, Mathematical or Industrial Engineering, Statistics or a related quantitative field, or equivalent practical experience\n4+ years of professional experience in data engineering\nStrong SQL development skills - 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