GET (Global Engineering Technologies) is a Belgrade-based Serbian company founded in 2007. GET is recognized as a reliable ISV and IT outsourcing company on the international market. We are specialized in software development and IT services as one of the fastest growing IT companies in the SEE region with Atlassian, SAP, Microsoft and Cisco partner status.

We are innovators, engineers, designers and project managers establishing long-term strategic and innovation partnerships with our clients operating in automotive, banking, logistics and pharma/biotech industries.

GET has more than 280 software engineers, business analysts, business domain experts and corporate staff.

We are GET. And we grow together as a team.

Click to GET Inside:

www.global-engineering-technologies.com/get-inside

Due to our continuous growth, we are looking for:

Responsibilities

● Design, implement, and maintain data analytics solutions and strategies tailored specifically for the logistics industry, primarily focusing on implementing existing designs and strategies
● Develop and optimize data extraction and transformation pipelines (ETL/ELT), focusing on incremental data processing and aggregations using Azure Databricks and Synapse Analytics, while contributing to the optimization of existing processes
● Participate in designing and optimizing data models and transformation layers within Data Lakehouse environments, leveraging the Medallion Architecture
● Collaborate with product owners, analysts, and other stakeholders to understand data needs and provide technical solutions
● Monitor and troubleshoot data pipelines, support the optimization of the data analytics environment to ensure high availability and performance
● Collaborate with clients and internal product teams to analyze business requirements, participate in the preparation of technical project documentation and contribute to the design of data solutions
● Participate in code reviews and technical discussions, following best practices, and progressively taking on more responsibility in organizing technical tasks

About you

● 2+ years of experience in Business Intelligence, Data Engineering, or related roles
● Extensive experience with:
○ SQL and relational database concepts (e.g., MS SQL, Oracle, DB2)
○ ETL/ELT tools and data integration (e.g., Azure Data Factory, Azure Databricks) for batch and near-real-time processing
○ Data Lakehouse and DWH design and implementation, including data modeling is a plus.
○ Python programming for data processing and analytics
● Strong analytical, conceptual, and problem-solving abilities, with a keen eye for detail
● Readiness to learn and adopt new technologies, demonstrating a strong commitment to quality
● Excellent communication skills, with experience in client-facing roles
● Fluent in English

It would be a plus to have

● Experience in implementing solutions within the logistics industry, with an
understanding of logistics processes and products
● Experience in leading project lifecycles, mentoring junior developers, and
delivering logistics-centric solutions
● Knowledge of streaming technologies, distributed storage, containerized
applications (Docker, Kubernetes), and serverless computing
● Familiarity with Azure services for data engineering and analytics
● Experience with project management tools (e.g., JIRA) and version control (e.g.,
Azure DevOps)

GET benefits you

● Hybrid work model
● Private health insurance
● Choose one additional benefit: FitPass, event tickets or private pension insurance
● Learning and growth program
● Access to Udemy, Pluralsight and GET Library
● Language classes (English & German)
● Team buildings and other team events
● Various shopping discounts
● Weekly sport activities (football, basketball, volleyball)
● Gaming room (billiards, table football, darts & board games)
● Gift/vouchers for special occasions (Newborns, International Women Day, Christmas gifts for kids)
● Possibility to travel abroad

We are pleased that you have taken the first step to finding out about a career at Global Engineering Technologies. In order to ensure the most professional treatment of your application, GET is exclusively using online applications.

Please note that only shortlisted candidates will be contacted.