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

Key requirements

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

Jobs at Anton Paar

1 active role from this employer in the JobMatcher catalog.

All company jobs

Jobs at Anton Paar

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

Anton Paar, a leading provider of high-precision laboratory and process measurement technology, is seeking a Data Engineer to design, build, operate, and continually develop a modern data platform based on Azure Databricks. You will ensure data from SAP, CRM, Salesforce and other systems is reliably integrated and prepared for analytics and reporting.

Responsibilities

Qualifications:

Design, build, operate, and continuously develop a modern data platform based on Azure Databricks.
Develop, implement, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
Integrate, transform, and provide data from various operational source systems and third-party systems for analytics, reporting, and data science applications (including SAP, CRM, Salesforce).
Implement and continuously improve measures related to Data Quality, Data Governance, and Data Security with transparent and traceable data flows.
Create and maintain technical documentation covering architecture, data flows, data models, and development standards.
Degree in Computer Science, Business Informatics, Software Engineering, or a related field.
3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
Experience with Azure Databricks and the development of ETL/ELT processes and data pipelines.
Strong SQL skills and practical experience with Python.
Experience integrating data from SAP, CRM, Salesforce is preferred.
Understanding of data models and business processes in Finance, Sales, and Service.
Knowl

About the role

Anton Paar, a leading provider of high-precision laboratory and process measurement technology, is seeking a Data Engineer to design, build, operate, and continually develop a modern data platform based on Azure Databricks. You will ensure data from SAP, CRM, Salesforce and other systems is reliably integrated and prepared for analytics and reporting.

Responsibilities

Qualifications:

Design, build, operate, and continuously develop a modern data platform based on Azure Databricks.
Develop, implement, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
Integrate, transform, and provide data from various operational source systems and third-party systems for analytics, reporting, and data science applications (including SAP, CRM, Salesforce).
Implement and continuously improve measures related to Data Quality, Data Governance, and Data Security with transparent and traceable data flows.
Create and maintain technical documentation covering architecture, data flows, data models, and development standards.
Degree in Computer Science, Business Informatics, Software Engineering, or a related field.
3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
Experience with Azure Databricks and the development of ETL/ELT processes and data pipelines.
Strong SQL skills and practical experience with Python.
Experience integrating data from SAP, CRM, Salesforce is preferred.
Understanding of data models and business processes in Finance, Sales, and Service.
Knowl

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Data Engineer

See how this role matches your resume

Sign in to get an AI match score and personalized feed.

Create account Sign in

More in Data Engineer

Engineering Data Backend Frontend DevOps