{"id":3863626,"url":"https://alion.io/job/randstad-hungary-data-engineer","title":"Data engineer","company":{"id":2215937,"name":"Randstad Hungary","domain":"randstad.hu","url":"https://alion.io/company/randstad-hu","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":99,"open_postings":20,"ghost_share":0,"stale_share":0.05,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hungary"],"countries":["HU"],"hiring_countries":["HU"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Bigtable","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-06T07:54:56Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T15:28:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What We Offer\nBase salary supplemented with a Cafeteria package (SZÉP kártya).\n\nCompany-provided private health insurance.\n\nModern office environment in Budapest, with 1 day of Home Office per week available after successfully passing your probation period.\n\nHome Office Kit provided for your remote work (monitor, docking station).\n\nContinuous access to various corporate discounts and special offers (e.g., AYCM employee sports pass and much more).\nResponsibilities\nThe Data Engineer role is focused on delivering end-to-end data solutions-designing, implementing, and optimizing data storage solutions, landing and manipulating data, creating data products, and providing product support. You will support a business-critical data analytics product used across Europe to model vehicle build plans to maximize profitability while strictly complying with EU and local CO2 emissions regulations.\nWorking within small, cross-functional teams, you will collaborate closely with Product Owners, business customers, IT, and data architects to translate business goals into scalable data solutions using agile, lean, and modern software engineering practices.\nKey Responsibilities:\nDesign and build production data engineering solutions and pipeline patterns leveraging Google Cloud Platform (GCP) services (including BigQuery, Dataflow / Apache Beam, Pub/Sub, Bigtable, Data Fusion, Dataproc, Dataform, Cloud Composer / Apache Airflow, Cloud SQL, Compute Engine, Cloud Functions, and App Engine).\n\nMigrate existing Big Data pipelines into the Google Cloud Platform environment.\n\nAct as an integral part of the implementation team from concept to operations, delivering deep technical subject matter expertise for data platform deployments.\n\nImplement automation across all pipeline stages to minimize development and production turnaround times.\n\nIdentify, develop, evaluate, and summarize Proof of Concepts (PoCs) to validate proposed architectural solutions.\n\nTest, benchmark, and compare competing solutions, articulating clear points of view on optimal technical directions.\n\nGuide and enhance incident management, deployment processes, and root cause analysis.\n\nCollaborate directly with Product Owners, business stakeholders, and architects to design, develop, test, and deploy changes while fostering a highly collaborative team culture.\n\nIdentify and adopt modern tools and engineering practices that increase agility and delivery speed.\n\nLead the large-scale solutioning and operationalization of data warehouses, data lakes, and analytics platforms on GCP.\n\nRequirements\nCore Engineering Background: Minimum 5 years of in-depth experience in Java or Python 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