{"id":1195055,"url":"https://alion.io/job/hofer-data-engineer-enterprise-data-product-2","title":"Data Engineer-Enterprise Data Product","company":{"id":1045017,"name":"Hofer KG","domain":"hofer.at","url":"https://alion.io/company/hofer-2","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":89000,"period":"year","method":null,"sample_n":2817},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-09-20T02:00:00Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-09-24T18:41:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"MUNKAVÉGZÉS HELYE\n1112 Budapest, Boldizsár utca 2.\nTEVÉKENYSÉGI TERÜLET\nIT\nMUNKAVÉGZÉS KEZDETE\nMegegyezés szerint\nFOGLALKOZTATÁS MÉRTÉKE\nTeljes munkaidő\n\nmegállapodás szerint\n\nMy responsibilities:\nMaintain, develop, and optimize the global datalakeenvironment, ensuring high data quality, reliability, and overall performance\nDesign and implement high-performance data processing pipelines and workflows utilizing Python, Spark, and Databricks\nManage scalable and efficient data integration and processing solutions using Azure Data Factory, Databricks, and Event Hub\nEstablish robust data management processes and execute advanced data querying and quality control with SQL and big data technologies\nAutomate operational tasks and support infrastructure maintenance by leveraging shell scripting and foundational UNIX knowledge\nSupport data modeling initiatives for coherent structure design and document all technical processes to ensure operational continuity\nThe knowledge I own:\nStrongbackground and understanding of database data management (general SQL knowledge, data querying, data quality control)\nStrongprogrammingknowledge in Python (pandas, numpy)\nAdvanced levelBig Data / data lake framework (Spark, Databricks)\nStrong cloudknowledge and handling of Azure Data Factory, Databricks, Event Hub\nBasicfamiliarity with UNIX operating system, especially shell scripting\nBasicunderstanding of network level problems and connectivity requirements \nBasicUnderstanding data modelling principes\nData-centric mindset\nStructured, analytical thinking\nStrong communication skills\nWell-organized\nCan work in a multi-shift operation (Monday to Friday, 07:00 AM - 22:00 PM) + on-call (weeknights, weekends and public holidays) \nThe offer that would convince me:\nA constantly growing organization and increasing opportunities\nSecure, long-term job opportunity\nVaried and engaging job responsibilities\nOutstanding salary\nFlexible work arrangements\nHome office possibility \nOnline application:\nPlease use our online application and attach your resume.\nAIIS Adatkezelési tájékoztató\nPrivacy notice","description_format":"text","description_chars":2089,"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":["Flexible schedule","Home office"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T18:37:52Z"}],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.795,"p_room":1,"age_days":4,"expected_fill_days":20,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-09-24T23:30:01Z"},"pay":null,"html_url":"https://alion.io/job/hofer-data-engineer-enterprise-data-product-2","json_url":"https://alion.io/job/hofer-data-engineer-enterprise-data-product-2.json","meta":{"generated_at":"2026-09-24T23:30:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1627,"day_limit":5000,"remaining_today":3373,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}