{"id":3885118,"url":"https://alion.io/job/1dea-data-engineer-openapi-azure-python","title":"Data Engineer (Openapi | Azure | Python)","company":{"id":4159868,"name":"1dea","domain":"1dea.pl","url":"https://alion.io/company/1dea-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":25200,"max":26900,"currency":"PLN","period":"month","gross":null,"usd_annual":82500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Swagger","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-06T00:00:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Obszar: Consulting IT\nLokalizacja: 100% zdalnie\nDelegacje: nie\nStart: ASAP (akceptujemy kandydatury z max 1msc dostępnością do startu)\nStawka (ustalana indywidualnie):150 - 160 PLN netto + VAT / h\nZaangażowanie: B2B (outsourcing z 1dea), full-time, długofalowo (12msc+)\nProces rekrutacyjny (100% zdalnie):\nKrótka rozmowa telefoniczna informacyjno-zapoznawcza z rekruterem 1dea (~10 min)\nWeryfikacja techniczno-projektowa z Klientem (~1 – 1.5 h)\nRozmowa zapoznawcza z przedstawicielem projektu u Klienta końcowego (~30 min)\nDecyzja o podjęciu współpracy\nZakres obowiązków\nBudowanie, optymalizacja i utrzymanie wydajnych rurociągów danych (Data Pipelines) w chmurze Azure\nPrzetwarzanie, parsowanie, czyszczenie i strukturyzacja dużych wolumenów danych tekstowych\nRozwój i utrzymanie baz wiedzy (w tym baz wektorowych / struktur przechowywania danych) na potrzeby analityczne oraz rozwiązań AI/ML\nProjektowanie, integracja i udostępnianie interfejsów API w standardzie OpenAPI (Swagger) na potrzeby zasilania i wystawiania danych z pipeline'ów dla innych systemów\nTworzenie spójnej dokumentacji kontraktów danych i punktów styku (API-first) w standardzie OpenAPI\nWspółpraca z zespołem analityków, architektów oraz inżynierów przy projektowaniu kompleksowej architektury danych\n\nKogo poszukujemy?\nPython – bardzo dobra znajomość języka oraz umiejętność pisania wydajnego, czystego kodu nakierowanego na przetwarzanie i analizę danych.\nChmura Azure – praktyczne, komercyjne doświadczenie w pracy z kluczowymi usługami danych w środowisku Microsoft Azure.\nOpenAPI / REST API – praktyczna znajomość standardu OpenAPI (Swagger) w kontekście integracji rurociągów danych, dostarczania endpointów i dokumentowania specyfikacji API.\nBazy wiedzy – doświadczenie w projektowaniu, utrzymaniu lub integracji baz wiedzy, baz wektorowych oraz zaawansowanych struktur przechowywania danych.\nDuże wolumeny danych tekstowych – doświadczenie w pracy z plikami tekstowymi o dużej objętości (optymalizacja odczytu/zapisu, wydajne przetwarzanie).\nKomunikatywność / Język angielski – wysoko rozwinięte umiejętności interpersonalne oraz sprawna komunikacja w języku angielskim w codziennej pracy projektowej.\nMile widziane:Doświadczenie z narzędziami do orkiestracji danych i CI/CD w Azure (np. 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