{"id":4073845,"url":"https://alion.io/job/margo-senior-data-engineer-cr-121126","title":"Senior Data Engineer - CR 12/11/26","company":{"id":678262,"name":"Margo","domain":"margo.com","url":"https://alion.io/company/margo-5","size_band":"11-50","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":48,"ghost_share":0.167,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":226,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":180,"max":200,"currency":"PLN","period":"hour","gross":null,"usd_annual":102000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T14:15:46Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T14:39:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a Senior Data Engineer to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture.\nThis role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.\nKey Responsibilites\nHands-on Data Product development\nImplement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow.\n\nDevelop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers:\n\nBronze (raw ingestion)\n\nSilver (cleansed & conformed)\n\nGold (business-ready data products)\n\nOptimize performance, cost, and reliability of data workloads.\n\nRaise important questions during business maturation in order to detect risks before development stage.\n\nTechnical Leadership\nParticipate in architecture reviews and technical decision-making.\n\nPromote engineering excellence through code reviews and design reviews.\n\nCollaborate with Architects, Product Owners in data product technical maturation.\n\nSupport & Operations (Run Team Collaboration)\nProvide support to the Run/Operations team for production pipelines and data products for complex topics.\n\nTroubleshoot and resolve data incidents, failures, and performance issues\n\nParticipate in incident management, root cause analysis, and post-mortems.\n\nEnsure proper handover, documentation, and operational readiness of developed solutions.\n\nContribute to improving runbooks, monitoring, and operational processes.","description_format":"text","description_chars":1653,"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":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Staffing & Staff 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