Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Middle Data Engineer (Logistics domain)

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

Offer summary

Qualifications:

3 years of experience in data engineering, Knowledge of Azure, SQL, and Python, Experience with cross-functional teams, Understanding of data analytics fundamentals.

Key responsabilities:

  • Implement architectures on Azure cloud platforms
  • Design, develop, and maintain data architecture and pipelines
Sigma Software Group logo
Sigma Software Group Large https://www.sigma.software
1001 - 5000 Employees
About Sigma Software Group
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs.Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts.Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters.
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 teams
  • 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   
  • Upper-Intermediate level of English 

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.

Hard Skills

SQL (Programming Language)Data EngineeringPython (Programming Language)Microsoft AzureSparkrDatabricksData GovernanceData ModelingData WarehousingExtract Transform Load (ETL)Data LakesLogistics

Other Skills

  • Communication
  • Problem Solving
  • Decision Making
  • Social Skills
Are you interested?

Data Engineer Related jobs

See more Data Engineer jobs
Sign in or sign up with Google or LinkedIn