{"id":4266923,"url":"https://alion.io/job/mindbox-data-engineer-analyst","title":"Data Engineer Analyst","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":86,"open_postings":56,"ghost_share":0,"stale_share":0.536,"repost_share":0.036,"time_to_fill_p50_days":55,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Confluence","optional":true},{"name":"Databricks","optional":true},{"name":"Jira","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-11-13T11:31:53Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T16:46:09Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nWe are looking for a Data Engineer with hands-on experience in Big Data / Data Lake environments to design, develop, and maintain data pipelines supporting analytics and risk-related use cases. You’ll work on ingesting, transforming, and validating large datasets, enabling reliable data flows and ensuring data quality across the platform.\nSounds like your kind of challenge?\nResponsibilities\nHybrid work setup - one day a week from the offcie\nCollaborative team culture - work alongside experienced professionals eager to share knowledge \nContinuous development - access to training platforms and growth opportunities \nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more \nHigh quality equipment - laptop and essential software provided \nRequirements\nAnalyse and understand existing data models, data flows, and transformations in the Data Lake.\nDevelop and maintain Python processes, ETLs, and data pipelines for data ingestion and transformation.\nImplement and monitor Control-M jobs / batch processes.\nDesign and adapt data models and datasets required for the Limits solution.\nPerform SQL analysis, data validation, and reconciliation across multiple sources.\nBuild and maintain data quality controls to detect and resolve issues early.\nSupport testing, certification, deployment and production releases.\nMaintain technical documentation for data models, processes and transformations.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\n2+ years of experience in Data Engineering / Big Data environments.\nStrong knowledge of SQL and Python.\nProven experience with ETL development, data ingestion and transformation.\nExperience in data modeling, data pipelines and Data Lake architecture.\nHands-on work with Control-M or other batch orchestration tools.\nStrong understanding of data validation, analysis, and quality assurance.\n English B2 or higher (verbal and written).\nNice to have:\nFamiliarity with Atoti / ActiveViam and Databricks.\nExperience with REST APIs and Microservices integration.\nWorking knowledge of Jira / Confluence.\nUnderstanding of Counterparty Risk / Limits data domains.\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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