Position: Senior Data Engineer (Logistic Domain)
Company: Sigma Software
Experience required: 5y
English level: upper

We welcome a proficient Strong Middle/Senior Data Engineer to become a part of the long-term project for our Europe-based client.

The Customer is the largest Logistics company in Europe whose unique logistics ideas offer personalized and comprehensive solutions for various aspects of the business, including storage, transportation, order processing, package delivery, and additional services that add value to various operations.

The Customer is the largest Logistics company in Europe whose unique logistics ideas offer personalized and comprehensive solutions for various aspects of the business, including storage, transportation, order processing, package delivery, and additional services that add value to various operations.

Responsibilities
Implementing architectures based on Azure Cloud platforms (Data Factory, Databricks, etc.);
Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles;
Discover, understand, and organize disparate data sources and structure them into clean data models with clear and understandable schemas;
Contribute to the evaluation of new tools for analytical data engineering or data science;
Suggest and contribute to training and improvement plans regarding analytical data engineering skills, standards, and processes;

Requirements 

At least 5+ years of commercial experience in Data Engineering
3+ years of experience with Microsoft Azure Tech Stack: products & tools, best practices, licensing
Expert experience with Azure Synapse Toolbox; DataBricks; Terraform; Data Lake
Hands-on experience with Python
Good experience with SQL
Excellent knowledge of Star Schema for Power BI Data Modeling
Great problem-solving skills and out-of-the-box thinking
At least an Upper-Intermediate level of English