Senior Data Engineer (Azure Databricks/PySpark)

Location: Fully remote; working remotely or from one of the offices is available.

Company

hirify.global delivers software engineering services through international, long-term client projects.

What you will do

• Design, develop, maintain, monitor, and optimize data integrations and pipelines with Azure Databricks, PySpark, and Python.
• Implement integrations according to interface specifications and architectural guidelines, moving data from source systems into data products.
• Profile data, implement validation and quality rules, and ensure consistency, reliability, and maintainability.
• Support Power BI semantic models, datasets, reports, and dashboards, including collaboration with analysts and business stakeholders.
• Contribute to Lakehouse architecture, performance optimization, Agile delivery, 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 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 proficiency at B1–B2 or higher, depending on project requirements.

Nice to have

• Experience with Azure Synapse Analytics.
• Knowledge of the DQX Framework or a similar data quality framework.
• Experience with Terraform and Infrastructure as Code.
• 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.

Culture & Benefits

• Long-term international project with expected annual extensions and a flexible start date.
• Full-time remote engagement with a flexible working schedule.
• Opportunity to work with modern Azure Data Engineering technologies and an enterprise data platform.
• Collaboration with an international team and an Austrian client.
• Twenty business days of covered vacation and five additional days off.
• Free English classes, legal support, and medical insurance for employees from Ukraine.