Data Engineer, Supply Chain & Planning (Databricks)

RHI Magnesita N.V.; Wien; Hybrid; EUR 60.000 - 70.000; Vollzeit

Benefits dieser Stelle

Home office flexibility

Annual transport pass

Health & wellness platform

Café and daily food allowance

Zusammenfassung

RHI Magnesita N.V. is seeking a Data Engineer to join the international Data & AI team in Vienna. You will build scalable data pipelines on a Databricks-based lakehouse, integrating Sales, Distribution and SCM data, notably from SAP, to support demand and supply planning.

You will work hands-on with Databricks, Python, SQL, Spark, Azure and SAP, leveraging AI-assisted coding practices in an agile, global environment. The role offers hybrid work and a competitive package based on experience.

Qualifikationen

• Experience in Data Engineering and building production-grade data pipelines.
• Strong practical skills in Python, SQL, Spark and Databricks.
• Experience with SAP data and cloud data platforms; Azure is an advantage.
• Understanding of Sales, Distribution, Supply Chain or demand/supply planning is a plus.
• Interest in modern engineering practices, including AI-assisted coding and development.

Aufgaben

• Building and operating scalable data pipelines and data products on our Databricks-based lakehouse.
• Integrating and transforming Sales, Distribution and SCM data, particularly from SAP, for demand and supply planning.
• Delivering trusted, high-quality data to o9 and other planning solutions (you will not develop directly in o9).
• Working hands-on with Databricks, Spark, Python, SQL, Azure and SAP.
• Using Codex, Databricks Genie Code and other AI-assisted engineering practices as part of your daily development workflow.
• Collaborating closely with Supply Chain, business teams and other Data & AI colleagues in an agile, international environment.

Kenntnisse

Python

SQL

Spark

Databricks

SAP data

Azure

Tools

Databricks

SAP

Jobbeschreibung

RHI Magnesita N.V. is seeking a Data Engineer to join the international Data & AI team in Vienna. You will build scalable data pipelines on a Databricks-based lakehouse, integrating Sales, Distribution and SCM data, notably from SAP, to support demand and supply planning.

You will work hands-on with Databricks, Python, SQL, Spark, Azure and SAP, leveraging AI-assisted coding practices in an agile, global environment. The role offers hybrid work and a competitive package based on experience.