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Middle Data Engineer (Logistics domain)

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

At least 3 years of experience in data engineering., Knowledge of SQL and experience with Python., Conceptual knowledge of data analytics fundamentals., Experience with Azure cloud solutions is preferred..

Key responsabilities:

  • Implement architectures on Azure cloud platforms.
  • Design, develop, optimize and maintain data architectures and pipelines.
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Sigma Software Group Large https://www.sigma.software
1001 - 5000 Employees
See more Sigma Software Group offers

Job description

Company Description

We are looking for an enthusiastic Middle Data Engineer ready to work on projects from scratch and participate in creating an infrastructure for a large-scale solution. 

The company, headquartered in Germany, is one of Europe’s leading logistics providers. Its competence lies particularly in the development and realization of integrated supply chain systems and in the use of data to optimize logistics processes. 

Job Description
  • Implement architectures based on Azure cloud platforms (Data Factory, Databricks, etc.)  
  • Design, develop, optimize and maintain team-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles  
  • Work closely with the client and other stakeholders to clarify technical requirements and expectations 
  • Discover, understand, and organize disparate data sources and structure them into clean data models with clear, understandable schemas 
  • Contribute to the evaluation of new tools for analytical data engineering on the project 

Qualifications
  • At least 3 years of experience in data engineering and with cloud computing service solutions in the area of data and analytics, Azure is preferred one  
  • Conceptual knowledge of data analytics fundamentals such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data  
  • Knowledge of SQL and experience with Python   
  • Experience of working in cross-functional teamsUpper-Intermediate level of English 
  • Experience in database development and data modeling, ideally with Databricks/Spark  
  • Excellent communication and interpersonal skills  
  • Strong problem-solving and decision-making skills, with a focus on delivering results and meeting deadlines   

WOULD BE A PLUS

  • A subject matter expert in the logistics domain 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving
  • Decision Making

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