Remote Data Engineer: Azure Databricks & Power BI

Koderia; Wien; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

Koderia is seeking an experienced Data Engineer (Azure Databricks) to support a client in the transportation and logistics industry. The role focuses on data integration and quality processes within a centralized Lakehouse environment. Key responsibilities include implementing data flows, managing pipelines, and supporting Power BI models. Strong German language skills are mandatory. The position offers a full-time capacity with occasional on-site meetings, ideal for long-term collaboration based on performance.

Qualifikationen

• Strong hands-on experience with Databricks and PySpark.
• Experience with Power BI and DAX for data models and reports.
• Proven data modeling and architecture design skills.
• Deep understanding of data quality implementation.
• Familiarity with modern data platform architectures.
• Experience with implementing data integration interfaces.
• Proficient use of JIRA for backlog management.

Aufgaben

• Implement data integrations based on specifications.
• Perform data profiling and quality rule implementation.
• Manage data flows according to design.
• Provide data services via defined interfaces.
• Handle deployment and release management of pipelines.
• Prepare operations and ensure stability.
• Implement technical data quality checks.
• Support integration of Power BI models and reports.

Kenntnisse

Databricks

PySpark

Power BI

DAX

Data modeling

Agile methodologies

JIRA

Tools

Azure DevOps

Terraform

DQX Framework

Lakehouse architecture

Jobbeschreibung

Koderia is seeking an experienced Data Engineer (Azure Databricks) to support a client in the transportation and logistics industry. The role focuses on data integration and quality processes within a centralized Lakehouse environment. Key responsibilities include implementing data flows, managing pipelines, and supporting Power BI models. Strong German language skills are mandatory. The position offers a full-time capacity with occasional on-site meetings, ideal for long-term collaboration based on performance.