About us

Without Jungheinrich your shopping cart would probably remain empty. And it does not stop there! Every day our devices transport millions of goods in logistics centres all over the world.

Our mission at Jungheinrich Digital Solutions Spain is next level intralogistics powered by technology, passion and a great team spirit.

We are an international corporate IT Hub based in the heart of Madrid and develop intelligent warehouse management solutions and process-reliable warehouse automation for our customers to make their lives easier.

About the role

We are looking for a Data Engineer with 3–5 years of experience to join our Data Analytics & AI Services Team, team responsible for operating and continuously enhancing Jungheinrich’s central data platform, enabling analytics and AI use cases across the entire organization. Join us and be part of a great team where "WE" come first :)

Responsibilities

Build and operate scalable data pipelines and reusable data products on Azure and Databricks

Help develop and operate Jungheinrich’s central data platform

Work across the full data engineering lifecycle, from data integration and transformation to deploying and operating data products

Integrate and process a broad range of enterprise data, IoT data and unstructured data

Develop data transformations and data models using Python, PySpark and SQL

Contribute to solution architecture,



system design and data engineering standards

Ensure reliable production operations through testing and monitoring

Work closely with AI Engineers, Data Analysts and business users across functions such as Sales, After Sales, Finance, Automation and Technology

Turn business requirements into sustainable, reusable data solution

Requirements

University degree in Computer Science, Software Engineering, Data Engineering or a related technical field; equivalent professional experience may also be considered

At least 3 years of professional experience in Data Engineering or a similar role

Strong Python and SQL skills

Hands-on experience with Azure and Databricks, or equivalent technologies on other cloud platforms

Experience building and operating data pipelines and data products, ideally as part of a data team

Experience with data modelling and CI/CD in a cloud environment

Interest in solution architecture and system design

Experience applying data quality, security and governance principles

Fluent English

Nice to have

Experience with Infrastructure as Code, ideally Terraform

Experience with streaming and event-driven data processing

Soft skills

Strong sense of ownership

Service-oriented and customer-focused mindset

Strong analytical, communication and problem-solving skills

Curiosity and openness to new technologies

📌 Data Engineer (Madrid)
🏢 Randstad
📍 Madrid