{"id":3525236,"url":"https://alion.io/job/luxoft-senior-data-engineer-bigdata-development","title":"Senior Data Engineer - BigData Development","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":84,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0.111,"time_to_fill_p50_days":19,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":111},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-30T08:05:09Z","employer_posted_date":null,"last_verified_at":"2026-10-30T08:05:09Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for an experienced Senior Data Engineer to join a project within observability and embedded analytics for a leading automotive Client.\n\nThe project focuses on transforming logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable datasets and engineering insights.\n\nYou will have a hands-on role in building production data pipelines, transformations and analysis-ready datasets that support faster troubleshooting, reliability analysis, product-quality follow-up and improved understanding of platform performance in real-world conditions.\n\nDesign, build and maintain production-grade data pipelines and transformations.\n\nDevelop data models, schemas and curated datasets for different engineering use cases.\n\nProcess logs, events, telemetry and high-volume time-series data.\n\nIntegrate data from embedded, cloud, test and application sources using APIs and other data interfaces.\n\nImplement automated data-quality checks and pipeline monitoring.\n\nBuild analysis-ready datasets supporting troubleshooting, reliability and product-quality analysis.\n\nImprove pipeline reliability, performance and maintainability.\n\nSupport dashboards and analytical use cases.\n\nDocument delivered solutions and support knowledge transfer.\n\nWymagania\nMUST \nStrong experience developing and operating production-grade data pipelines. \n\nStrong hands-on Python and SQL skills. \n\nStrong knowledge of data transformation and data modelling. \n\nExperience with cloud-based data solutions. \n\nExperience with data orchestration and automated workflows. \n\nExperience working with APIs, event data and logs. \n\nExperience with data quality and pipeline monitoring. \n\nExperience working with high-volume time-series and/or telemetry data.\n\nNICE TO HAVE \nAutomotive or connected-car experience. \n\nExperience working with data from embedded systems or devices. \n\nExperience supporting troubleshooting, reliability or product-quality analytics. \n\nExperience with data visualisation and dashboards. \n\nMobile analytics experience. \n\nKnowledge of data lineage and data 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