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About the Project
We are looking for an experienced Data Engineer (Azure Databricks / PySpark) to join a long-term project for an Austrian client operating in the logistics industry.
The project focuses on developing and enhancing a modern cloud-based data platform, enabling seamless data integration, improving data quality, and supporting data-driven business decisions.
You will work within an Azure-based Lakehouse environment, building reliable data pipelines, integrating multiple data sources, and supporting analytical solutions powered by Databricks and Power BI.
This is an excellent opportunity to contribute to a large-scale data ecosystem, work with modern cloud technologies, and participate in a stable, long-term international project.

Responsibilities
Design, develop, and maintain data integrations and pipelines using Azure Databricks, PySpark, and Python.
Implement data integrations according to predefined interface specifications and architectural guidelines.
Perform data profiling, implement data quality rules, and ensure data consistency and reliability.
Develop, activate, monitor, and optimize data flows from source systems into data products.
Support the development and integration of Power BI semantic models, datasets, reports, and dashboards.
Collaborate with data architects, analysts, and business stakeholders to deliver scalable data solutions.
Contribute to the development and continuous improvement of the Lakehouse architecture.
Optimize data processing performance, reliability, and maintainability.
Participate in Agile development processes, including planning, implementation, testing, and deployment.
Support CI/CD and infrastructure automation practices within the Azure ecosystem.

Requirements
Proven commercial experience in Data Engineering.
Hands-on experience with Azure Databricks and PySpark.
Strong programming skills in Python and SQL.
Experience designing and implementing ETL/ELT pipelines and data integrations.
Good understanding of modern data platform architectures, particularly Lakehouse.
Experience with data profiling, data validation, and data quality management.
Familiarity with Power BI, including data modeling, semantic models, and/or DAX.
Experience working with cloud-based data platforms, preferably Microsoft Azure.
Understanding of Git-based development workflows and Agile methodologies.
Good communication skills and the ability to work in an international team.
English and/or German language proficiency (B1B2 or higher, depending on project requirements).

Nice to Have
Experience with Azure Synapse Analytics.
Knowledge of the DQX Framework or similar data quality frameworks.
Experience with Terraform and Infrastructure as Code (IaC).
Familiarity with Azure DevOps, GitHub, and CI/CD pipelines.
Understanding of Data Mesh principles and API-based integrations.
Experience optimizing Power BI data models, reports, and DAX queries.
Previous experience in logistics, transportation, or supply chain projects.

What We Offer
Long-term cooperation on an international project with expected annual extensions.
Fully remote working format.
Opportunity to work with modern Azure Data Engineering technologies.
Collaboration with an international team and an Austrian client.
Involvement in developing and improving a modern enterprise data platform.
Full-time engagement with a flexible start date.

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