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Salary
$48k – $64k per year
Location
Remote (Poland)
Employment
Full-Time
Overview
Company
Impact
Profile match
Fabrity is a software software house and IT consultancy that specializes in designing, building, and modernizing custom enterprise applications for European organizations. The company offers end-to-end digital transformation services, including cloud migration, software development, process automation, and user experience design across highly regulated sectors like finance, insurance, and manufacturing. By combining technical expertise with deep industry knowledge, it helps businesses streamline operations and build scalable digital products tailored to their specific needs.

Data Engineer (Azure / SQL)

Poszukujemy Data Engineera, który chce rozwijać się w projektach data/AI i pracować w środowisku opartym o nowoczesne rozwiązania chmurowe oraz klasyczne technologie bazodanowe.

Szukamy osoby z doświadczeniem w pracy projektowej, która potrafi współpracować z zespołem i klientem oraz ma solidne podstawy techniczne w obszarze danych.

Zakres obowiązków

  • Projektowanie i implementacja baz danych (SQL), hurtowni danych oraz rozwiązań typu Data Lake

  • Budowa i rozwój procesów ETL / ELT

  • Tworzenie i optymalizacja pipeline'ów danych

  • Współpraca z zespołem projektowym oraz interesariuszami po stronie klienta

  • Przygotowywanie modeli danych i raportów (Power BI)

  • Udział w projektach opartych o Azure Data Services

Wymagania (must have)

  • Doświadczenie komercyjne w obszarze Data Engineering / BI

  • Bardzo dobra znajomość Microsoft SQL Server

  • Doświadczenie z:

    • SSIS, SSAS, SSRS

  • Doświadczenie w pracy z Azure:

    • Azure SQL Database

    • NoSQL (np. Cosmos DB)

    • Azure Data Lake (ADLS)

  • Znajomość procesów:

    • ETL / ELT

  • Doświadczenie w pracy z Power BI

  • Umiejętność projektowania i implementacji:

    • baz danych SQL

    • hurtowni danych

    • Data Lake

  • Umiejętność pracy w zespole projektowym

  • Swobodna komunikacja z klientem

Mile widziane (nice to have)

  • Znajomość innych silników baz danych (np. PostgreSQL)

  • Doświadczenie z:

    • Azure Databricks

    • Azure Synapse Analytics

    • Azure Data Factory (ADF)

    • Azure Machine Learning

    • Microsoft Fabric

  • Doświadczenie w pracy z architekturą cloud data platforms

  • Doświadczenie w projektach data/AI

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