{"id":3089679,"url":"https://alion.io/job/awareson-azure-data-engineer-with-databricks","title":"Azure Data Engineer with Databricks","company":{"id":934,"name":"Awareson","domain":"awareson.com","url":"https://alion.io/company/awareson-sp-z-o-o","size_band":"51-200","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":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":115000,"period":"year","method":"role_country_seniority_unknown","sample_n":367},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T12:43:35Z","employer_posted_date":null,"last_verified_at":"2026-10-22T12:43:35Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Poszukujemy doświadczonej osoby na stanowisko Azure Data Engineer with Databricks, która dołączy do długoterminowego projektu realizowanego dla klienta z branży Life Sciences.\nOsoba na tym stanowisku będzie odpowiedzialna za projektowanie, rozwój i utrzymanie skalowalnych rozwiązań przetwarzania danych w środowisku Microsoft Azure, ze szczególnym uwzględnieniem Databricks, Azure Data Factory oraz nowoczesnych architektur Data Lakehouse.\nStawka: 110-130 PLN/h\nLokalizacja: 100% praca zdalna + 1 wizyta miesięcznie w biurze w Warszawie\nDługość projektu: Długoterminowy\nZakres obowiązków\nProjektowanie i wdrażanie skalowalnych rozwiązań do przetwarzania, transformacji i oczyszczania dużych zbiorów danych, zarówno strukturalnych, jak i niestrukturalnych.\n\nProjektowanie, budowa i utrzymanie wydajnych potoków danych integrujących informacje z różnych źródeł, w tym baz danych, API oraz platform strumieniowych.\n\nRozwój rozwiązań opartych na Azure Databricks i Azure Data Factory.\n\nWspółpraca z zespołami Data Engineering, Data Science, architektami chmurowymi oraz innymi interesariuszami w celu dostarczania kompleksowych rozwiązań danych.\n\nUdział w kluczowych etapach realizacji projektu, we współpracy z analitykami biznesowymi, ekspertami systemów źródłowych, architektami danych, inżynierami oraz Product Ownerami.\n\nDokumentowanie rozwiązań technicznych oraz uwzględnianie wydajności, skalowalności i kosztów w podejmowanych decyzjach architektonicznych.\n\nWspieranie procesów CI/CD i wdrażanie dobrych praktyk DevOps w obszarze przetwarzania danych.\n\nWymagania\nDoświadczenie w Azure Data Engineering, pracy z Databricks i Azure Data Factory.\n\nBardzo dobra znajomość SQL, PySpark, Python oraz ETL/ELT.\n\nZnajomość modelowania danych (3NF, Star/Snowflake).\n\nPraktyczna znajomość Databricks: Unity Catalog, MLflow, Jobs i Pipelines.\n\nZnajomość architektury Data Lakehouse, Medallion oraz integracji API.\n\nDoświadczenie w CI/CD i DevOps (Git, Azure DevOps).\n\nZnajomość integracji z narzędziami analitycznymi, np. 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