{"id":3460858,"url":"https://alion.io/job/luxoft-senior-data-engineer-data-platform-engineering","title":"Senior Data Engineer - Data Platform Engineering","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":"2026-10-31T05:58:55Z"}},"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":126000,"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":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-29T08:05:09Z","employer_posted_date":null,"last_verified_at":"2026-10-29T08:05:09Z","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 a Senior Data Engineer specialising in Data Platform Engineering to join a project focused on observability and embedded analytics for a leading automotive Client.\n\nThe project aims to establish a scalable and maintainable data foundation that transforms logs, events, measurements and telemetry from embedded, cloud, test and application systems into trusted and reusable data products.\n\nIn this role, you will focus on the architecture and engineering of the data platform, including pipelines, orchestration, common data models, data quality and operational monitoring.\n\nDesign and implement the target data architecture and production data foundation.\n\nBuild and maintain robust, automated data pipelines and transformations.\n\nDevelop shared data models, schemas and analysis-ready datasets.\n\nImplement data orchestration, data-quality controls, monitoring and lineage. \n\nIntegrate data from embedded, cloud, test and application systems using APIs and other data interfaces. \n\nImprove platform reliability, scalability, performance and maintainability.\n\nSupport analytical use cases while keeping the underlying data platform reusable.\n\nProduce operational documentation and support knowledge transfer to Client teams\n\nWymagania\nMUST \nStrong experience designing and operating production-grade data platforms and pipelines.\n\nStrong Python and SQL skills.\n\nExperience with cloud-based data solutions.\n\nStrong knowledge of data modelling, schemas and transformations.\n\nExperience with data orchestration and automated workflows.\n\nExperience integrating systems through APIs.\n\nExperience with data quality, pipeline monitoring and observability.\n\nExperience with version control and production engineering practices.\n\nUnderstanding of data security, privacy and access control.\n\nNICE TO HAVE \nAutomotive, connected-car or embedded-systems experience.\n\nExperience with telemetry, event and time-series data.\n\nData lineage and governance experience.\n\nExperience supporting dashboards and analytical platforms.\n\nExperience optimising data platforms for performance and 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