Data and Analytics Engineer
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Job Description
Data Engineer designing and maintaining ETL processes for reporting and analytics at InPost Group. Working with data to automate processes in Customer Care and support data-driven initiatives.
Responsibilities:
- Projektowanie, implementacja i utrzymanie procesów ETL (SQL, PySpark) w środowisku Databricks zgodnie ze standardami zespołu.
- Integracja danych z różnych źródeł: systemów Customer Care, API, plików oraz baz danych.
- Automatyzacja procesów przetwarzania i ładowania danych w celu redukcji błędów i eliminacji prac manualnych.
- Zapewnienie jakości, spójności oraz dostępności danych zgodnie z polityką organizacyjną.
- Monitorowanie pipeline’ów oraz reagowanie na błędy, incydenty i problemy jakościowe.
- Optymalizacja zapytań, transformacji i struktur danych pod kątem wydajności.
- Tworzenie tabel, widoków i struktur danych wykorzystywanych przez zespoły analityczne oraz wizualizacyjne.
- Współpraca z zespołami Customer Care, Data Engineering, Data Visualization oraz Process Automation przy dostarczaniu danych do raportów i automatyzacji.
- Analiza semantyki danych biznesowych Customer Care i jej wpływu na KPI oraz raportowanie.
- Czynny/proaktywny udział w projektach data‑driven i inicjatywach optymalizacyjnych.
- Dokumentowanie procesów ETL oraz kluczowych zależności między danymi.
- Stosowanie standardów jakości danych oraz najlepszych praktyk ETL.
Requirements:
- Bardzo dobra znajomość SQL i i Python (preferowany PySpark - złożone zapytania, optymalizacja).
- Doświadczenie w integracji danych z wielu źródeł.
- Bardzo dobre rozumienie procesów biznesowych i struktur danych.
- Język angielski B2.
- Mile widziane: Znajomość narzędzi automatyzacji (np. PowerAutomate).
- Zdolność budowania analiz statystycznych i predykcji.
- Znajomość architektury Medalionu i star schema.
- Biegła znajomość Excela.
Benefits:
- Realny wpływ na rozwój raportowania w obszarze Customer Care.
- Praca z danymi dla rynków PL, IT, ES, FR, UK.
- Udział w projektach automatyzacji i inicjatywach data‑driven.
- Możliwość rozwoju kompetencji analitycznych, technologicznych i projektowych.
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