Data Engineer - Focus on Databricks (f/m/x)

Anton Paar GmbH; Graz; Vor Ort; EUR 41.000 - 49.000; Vollzeit

Benefits dieser Stelle

Long-term workplace

Innovative culture

Friendly work environment

Training and onboarding

Occasional work outside office

Professional development

Zusammenfassung

Anton Paar GmbH in Austria is seeking a Data Engineer focused on Azure Databricks to shape a modern data platform. You will ensure data from SAP, CRM, and Salesforce is reliably integrated and prepared for analytics and reporting, enabling informed decisions across Finance, Sales, and Service.

You will design, build, and operate scalable pipelines with Azure Data Factory and Databricks, improve data quality and governance, and create documentation for architecture and data flows.

Qualifikationen

• Completed education in Computer Science, Business Informatics, Software Engineering, or a comparable field
• 3+ years of professional experience in Data Engineering, Software Engineering, or a comparable field
• Experience with Azure Databricks as well as the development of ETL/ELT processes and data pipelines
• Very good SQL skills and practical experience with Python
• Experience integrating and transforming data from various source systems, ideally SAP, CRM, or Salesforce
• Good understanding of data models and business processes, particularly in the areas of Finance, Sales, and Service
• Knowledge of Data Quality, Data Governance, and Data Security

Aufgaben

• Design, build, operate, and continuously develop a modern data platform based on Azure Databricks
• Develop, implement, and optimize scalable data pipelines using Microsoft Azure Data Factory, Azure Databricks, and other Azure services
• Integrate, transform, and provide data from various operational source systems and third‑party systems (including SAP, CRM, and Salesforce) for analytics, reporting, and data science applications
• Implement and continuously improve measures related to Data Quality, Data Governance, and Data Security while ensuring transparent and traceable data flows
• Create and maintain technical documentation covering architecture, data flows, data models, and development standards

Kenntnisse

SQL

Python

Azure Databricks

Data Modeling

Ausbildung

Computer Science, Business Informatics, Software Engineering or comparable field

Tools

Azure Databricks

Azure Data Factory

SAP

CRM

Salesforce

Jobbeschreibung

Data Engineer - Focus on Databricks (f/m/x)

• Full-time

Anton Paar develops, manufactures, and distributes high-precision laboratory and process measurement technology as well as customized automation and robotics solutions. Data from Finance, Sales, and Service provides an important basis for informed decision-making at Anton Paar. As a Data Engineer, you will shape our modern data platform based on Azure Databricks and ensure that data from systems such as SAP, CRM, and Salesforce is reliably integrated and prepared for analytics and reporting.

• Design, build, operate, and continuously develop a modern data platform based on Azure Databricks
• Develop, implement, and optimize scalable data pipelines using Microsoft Azure Data Factory, Azure Databricks, and other Azure services
• Integrate, transform, and provide data from various operational source systems and third‑party systems (including SAP, CRM, and Salesforce) for analytics, reporting, and data science applications
• Implement and continuously improve measures related to Data Quality, Data Governance, and Data Security while ensuring transparent and traceable data flows
• Create and maintain technical documentation covering architecture, data flows, data models, and development standards

• Completed education in Computer Science, Business Informatics, Software Engineering, or a comparable field
• 3+ years of professional experience in Data Engineering, Software Engineering, or a comparable field
• Experience with Azure Databricks as well as the development of ETL/ELT processes and data pipelines
• Very good SQL skills and practical experience with Python
• Experience integrating and transforming data from various source systems, ideally SAP, CRM, or Salesforce
• Good understanding of data models and business processes, particularly in the areas of Finance, Sales, and Service
• Knowledge of Data Quality, Data Governance, and Data Security

• A reliable and long-term workplace in our expanding and international high‑tech company
• An innovative company culture that promotes technical excellence guaranteeing us the position of a technological leader in the global market
• A value‑oriented working environment that fosters friendly, supportive cooperation between colleagues and, at the same time, provides room for involvement, dedication and individual responsibility
• Individual training and onboarding
• Work Outside Office (occasion‑related possibility to work outside the office)
• Professional and personal development

We offer a fair and market‑aligned salary based on the collective agreement for employees in the metal trade – adjusted to the regional conditions of the Styrian labor market. The minimum gross monthly salary for this position is € 4.000 (based on full‑time employment). What truly counts for us are your personality, your skills, and the experience you bring. That’s why we take the time to determine your actual gross salary individually and are happy to offer a higher pay in recognition of your qualifications.