Data Engineer

Amer Sports Oyj; Garching bei München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Amer Sports Oyj in Germany is seeking a Senior Data Engineer to design and build scalable data pipelines powering procurement, supply chain and operations analytics. You will integrate SAP and non-SAP systems using Databricks, Delta Lake, Unity Catalog and Azure, and create reusable data models across procurement, vendor, contract, logistics and operations datasets.

The role requires 4+ years in data engineering, strong Python (PySpark) and SQL, and experience with data governance and AI-ready

Qualifikationen

• 4+ years of experience in data engineering or similar roles.
• Hands-on with Databricks including Delta Lake, Delta Live Tables, Unity Catalog and Workflows.
• Experience with SAP data sources and enterprise applications.
• Strong Python (PySpark) and SQL skills.
• Experience with SAP data integration approaches (OData, CDS views, BW extraction, SAP Datasphere).
• Azure technologies experience (Azure Data Factory, ADLS Gen2, Azure DevOps).
• Experience building API-based integrations (REST and SOAP).
• Git-based development, CI/CD and automated testing.
• Experience with data modelling, governance, lineage, data quality frameworks.
• Experience delivering datasets and reporting (Power BI, SAP Analytics Cloud).
• Professional English and basic German.
• Willingness to learn and grow.

Aufgaben

• Build scalable data pipelines for procurement, supply chain and operations analytics.
• Integrate SAP and non‑SAP systems, leveraging Databricks, Delta Lake, Unity Catalog and Azure.
• Create reusable data models across procurement, vendor, contract, logistics and operations datasets.
• Implement Medallion Architecture, ensure data governance and quality, and enable AI‑ready datasets.
• Collaborate with data analysts, business stakeholders and data scientists, translating complex requirements into scalable technical solutions.
• Adhere to engineering best practices (Git, CI/CD, automated testing).

Kenntnisse

Python

SQL

PySpark

Data Modeling

Data Governance

English communication

Ausbildung

Bachelor's or Master's in CS/IS/Engineering

Tools

Databricks

Delta Lake

Unity Catalog

Azure

APIs (REST/SOAP)

Git CI/CD

Power BI

SAP data sources

Jobbeschreibung

Overview

Senior Data Engineer responsible for designing and building scalable data pipelines and data products powering procurement, supply chain and operations analytics. The role involves building robust data pipelines, integrating SAP and non‑SAP systems, leveraging Databricks, Delta Lake, Unity Catalog and Azure, creating reusable data models across procurement, vendor, contract, logistics and operations datasets, implementing Medallion Architecture, ensuring data governance and quality, and enabling AI‑ready datasets. You will collaborate with data analysts, business stakeholders and data scientists, translate complex requirements into scalable technical solutions, and adhere to engineering best practices (Git, CI/CD, automated testing).

Responsibilities

• Build scalable data pipelines for procurement, supply chain and operations analytics.
• Integrate SAP and non‑SAP systems, leveraging Databricks, Delta Lake, Unity Catalog and Azure.
• Create reusable data models across procurement, vendor, contract, logistics and operations datasets.
• Implement Medallion Architecture, ensure data governance and quality, and enable AI‑ready datasets.
• Collaborate with data analysts, business stakeholders and data scientists, translating complex requirements into scalable technical solutions.
• Adhere to engineering best practices (Git, CI/CD, automated testing).

Requirements & Qualifications

• 4+ years of experience in data engineering or similar roles.
• At least 2 years of hands‑on experience with Databricks including Delta Lake, Delta Live Tables, Unity Catalog and Workflows.
• Experience with SAP data sources and enterprise applications.
• Strong Python (PySpark) and SQL skills.
• Experience with SAP data integration approaches (OData, CDS views, BW extraction, SAP Datasphere).
• Azure technologies experience (Azure Data Factory, ADLS Gen2, Azure DevOps).
• Experience building API‑based integrations (REST and SOAP).
• Git‑based development, CI/CD and automated testing.
• Experience with data modelling, governance, lineage, data quality frameworks.
• Experience delivering datasets and reporting (Power BI, SAP Analytics Cloud).
• Bachelor's or Master's degree in CS/IS/Engineering or equivalent.
• Professional English and basic German.
• Willingness to learn and grow.

Location and Working Arrangements

Hybrid based in Garching near Munich, Germany, with two days per week in the office. Suitable for someone able to relocate if needed.