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Sperton Global AS career site
Information Technology · Poland · Hybrid Remote

Data Engineer JR-37523

Hands-on experience with large databases and data warehouses as well modern data modeling and design concepts. Ability to design simplified E2E Azure solution architecture

Hi all!

* Data Engineer role *


Seniority- level Senior

Location-Wroclaw (PL)

Remote-75%

Assignment period-06 Oct 2024 to 30 Sep 2025

Main Responsibilities:

  • Main activities on the project include early defect detection, AA-driven root cause analysis and quality copilot
  • Integrating AI solutions with our Client’s internal applications
  • Supporting internal users and process – maintenance and data quality issues to make sure efficient system operations

An ideal candidate profile:

  • Having higher education level within IT or similar fields are preferred
  • At least 4 years of experience in Data Engineering
  • Hands-one experience with Azure Cloud and Python with PySpark
  • Expertise in Databricks including following services: Delta Tables, DLT, Unity Catalog, performance tuning
  • Very good knowledge of following Azure services: Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure OpenAI Service
  • Hands-on experience with large databases and data warehouses as well modern data modeling and design concepts
  • Ability to design simplified E2E Azure solution architecture
  • Being familiar with authentication mechanisms in Azure
  • Knowledge about AI fundamentals (how AI models are trained to generate data, RAG pattern, prompt engineering) as well MLOps will be highly desirable
  • Very good English skills both written and spoken are essential


Regards 

srilalitha

Department
Information Technology
Role
Computer Programmer
Locations
Poland
Remote status
Hybrid Remote
Employment type
Contract
Employment level
First /Mid-Level Officials
Job Description
Data Engineer role.
Job location
Wroclaw (PL)
Employment Level | Seniority
Mid-Senior level
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Information Technology · Poland · Hybrid Remote

Data Engineer JR-37523

Hands-on experience with large databases and data warehouses as well modern data modeling and design concepts. Ability to design simplified E2E Azure solution architecture

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