Senior Data Engineer

Clurgo · Polish: C1 · Systems Integrators · Custom Software Development · Python · SQL · Power BI · ETL/ELT · Azure Data Factory · 3 days ago
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Salary
≈ $60k – $98k per year (Estimated)
Location
In office (Poland)
Seniority
Senior
Employment
Internship

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 29, 2026. Clurgo scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Clurgo

Clurgo is a Polish software company founded in 2014 that builds and integrates enterprise systems for clients in banking, insurance, telecommunications and the public sector. Its engineers work on custom application development, systems integration, cloud migration and identity and access management, delivered as long-running teams embedded with client organisations rather than as fixed-scope projects. Headquartered in Warsaw with additional delivery capability elsewhere in Poland, it recruits continuously for Java, cloud and integration specialists to staff client engagements.
clurgo.com · HQ: Warsaw, Poland · Systems Integrators · Custom Software Development · Est. 2014
Tech stack of Clurgo

Clurgo to firma stworzona przez developerów dla developerów. Nasze zespoły łączą pełne spektrum kompetencji - od rozwoju oprogramowania i infrastruktury, przez analizę oraz testy, aż po strategiczne zarządzanie produktem i procesami. Realizujemy różnorodne projekty IT dla klientów z wielu branż, dbając o dobre praktyki programistyczne i zachowanie work-life balance. Tworzymy rozwiązania, które mają znaczenie - dla firm w Polsce i na całym świecie.

Dołącz do projektu realizowanego we współpracy z firmą technologiczną, w którym będziesz rozwijać skalowalne rozwiązania danych w ekosystemie Microsoft Azure. Będziesz odpowiadać za projektowanie i rozwój pipeline’ów ETL/ELT, przetwarzanie danych w Apache Spark i Azure Databricks oraz rozwój architektury Data Lakehouse. Rola obejmuje również modernizację platform danych, optymalizację wydajności i kosztów oraz zapewnienie jakości, bezpieczeństwa i niezawodności rozwiązań produkcyjnych.

Technologie i narzędzia: Apache Spark, Python, SQL, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Data Explorer, Azure DevOps, Delta Live Tables (DLT), Unity Catalog, CI/CD, Power BI.

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