{"id":2215503,"url":"https://alion.io/job/luxoft-senior-python-developer-data-engineer","title":"Senior Python Developer & Data Engineer","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":"A","score":85,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0.5,"time_to_fill_p50_days":12,"computed_at":"2026-10-13T05:45:00Z"}},"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":73000,"max_usd":121000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":103},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"Linux","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Azure","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-10T07:05:11Z","employer_posted_date":null,"last_verified_at":"2026-10-10T07:05:11Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a senior Python developer to join our client's team and lead the build of a new data and application platform. The team focuses on clean code, agile methodologies, and high-quality delivery. The client is from the investment banking industry.\n\nDesign, develop, and maintain scalable back-end services and APIs using Python\n\nBuild and optimize data pipelines and workloads on Databricks\n\nDesign, implement, and maintain CI/CD pipelines and release processes in Azure DevOps\n\nAdvise and guide the team on architecture, design decisions, and best practices while the new platform is built\n\nMentor developers and raise the technical level of the team through code reviews and pair programming\n\nDefine and consume RESTful APIs, clearly communicating requirements and constraints across teams\n\nTranslate business and product requirements into robust technical solutions\n\nApply clean code principles and contribute to continuous improvement of engineering standards and tooling\n\nWrite and maintain automated tests (unit, integration)\n\nParticipate actively in agile ceremonies (Scrum/Kanban), including refinement, planning, reviews, and retrospectives\n\nWork closely with QA, product managers, and architects to ensure high-quality, business-aligned deliveries\n\nSupport and improve existing applications in a fast-paced, enterprise investment-banking environment\nWymagania\nMUST At least 10 years of professional software development experience, including long-term projects\n\nStrong hands-on Python development skills\n\nHands-on experience with PySpark and distributed data processing\n\nProven experience designing, building and maintaining ETL pipelines\n\nHands-on experience with Databricks\n\nHands-on experience with Oracle, including strong SQL skills and query and performance tuning\n\nGood working knowledge of Unix/Linux and shell scripting\n\nExperience scheduling and monitoring batch jobs with Autosys\n\nBackground in Java or C# development\n\nExperience in automated testing of data pipelines and applications\n\nClean coding skills\n\nExcellent problem-solving skills\n\nFamiliarity with agile practices (Scrum, Kanban, etc.)\n\nGood communication 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