Offer summary

Qualifications:

At least 1.5 years of experience in data engineering and cloud computing solutions, preferably Azure., Knowledge of data analytic fundamentals such as ETL, data warehousing, and data governance., Proficiency in SQL and Python programming., Upper-intermediate level of English and experience collaborating with cross-functional teams..

Key responsibilities:

Build and maintain Azure-based data pipelines and data models.

Work closely with clients and stakeholders to clarify technical requirements.

Organize and structure disparate data sources into clean, understandable schemas.

Implement data tasks using Azure Cloud platforms like Data Factory and Databricks.

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 22 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.

Job description

Company Description

Join as a Data Engineer to build and maintain Azure-based pipelines, structure data models, and optimize logistics for a top European supply chain company.

We are seeking a motivated, proactive, and positive individual with a great desire to learn to join our team. You will work together with our specialists while closely collaborating with the client.

CUSTOMER

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 focuses on using data to optimize logistics operations.

Job Description

Work closely with the client and other stakeholders in order to clarify tech requirements and expectations; onboard the clients into existing products

Maintain pipelines

Maintain data

Implement tasks based on Azure Cloud platforms (Data Factory, Databricks, etc.)

Discover, understand, and organize disparate data sources and structure them into clean data models with clear and understandable schemas

Qualifications

At least 1.5 years of experience in data engineering and with cloud computing services solutions in the area of data and analytics, Azure is preferred

Conceptual knowledge of data analytic fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data