Data Engineer, Supply Chain & Planning — Hybrid Vienna

RHI Magnesita; Wien; Hybrid; EUR 54.000 - 66.000; Vollzeit

Benefits dieser Stelle

Home office options

Annual transport pass

Health and wellness program (Mavie)

Café and daily meal allowance (Europl‑

Corporate benefits platform

Zusammenfassung

RHI Magnesita in Vienna is seeking a hands-on Data Engineer to build scalable data pipelines and products on a Databricks-based lakehouse. You will work with Sales, Distribution and SCM data, including SAP sources, to support demand and supply planning in an international, agile team.

You will use Python, SQL, Spark, Databricks and Azure, and you will benefit from AI-assisted coding practices. The role is hybrid with ongoing collaboration across global teams.

Qualifikationen

• Experience 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.

Aufgaben

• Build and operate scalable data pipelines and data products on a Databricks-based lakehouse.
• Integrate and transform Sales, Distribution and SCM data, especially from SAP, for demand and supply planning.
• Deliver trusted, high-quality data to o9 and other planning solutions.
• Work hands-on with Databricks, Spark, Python, SQL, Azure and SAP.
• Use Codex, Databricks Genie Code and other AI-assisted engineering practices daily.
• Collaborate closely with Supply Chain, business teams and other Data & AI colleagues in an agile, international environment.

Kenntnisse

Python

SQL

Spark

Databricks

Databricks Genie Code

Tools

SAP

Azure

Jobbeschreibung

RHI Magnesita in Vienna is seeking a hands-on Data Engineer to build scalable data pipelines and products on a Databricks-based lakehouse. You will work with Sales, Distribution and SCM data, including SAP sources, to support demand and supply planning in an international, agile team.

You will use Python, SQL, Spark, Databricks and Azure, and you will benefit from AI-assisted coding practices. The role is hybrid with ongoing collaboration across global teams.