Data Engineer

AI Futures; Essen; Remote; EUR 60.000 - 75.000; Vollzeit

Zusammenfassung

A unique opportunity for a Data Engineer to work with a leading healthcare company in Germany on a new data lake platform. Join a team focused on data-driven innovation and contribute to shaping a next-generation data infrastructure in a highly regulated environment. Leverage your skills in SQL, Python, and Spark to have a real-world impact.

Qualifikationen

• Experience in developing ETL pipelines for large-scale data.
• Good knowledge of working with structured and unstructured data.
• Fluent in German (C1 or native level) is essential.

Aufgaben

• Design and maintain end-to-end data pipelines.
• Integrate diverse data sources into the data infrastructure.
• Use DevOps practices for data process efficiency.

Kenntnisse

SQL

Python

Spark

Jobbeschreibung

Data Engineer | Berlin (Remote in Germany) | up to €75k

We have partnered with a leading healthcare company in Berlin who have posted €10B revenues last year and are at the forefront of data-driven innovation. In this highly regulated, high-security environment, you'll work on a greenfield data lake platform designed to handle vast volumes of sensitive healthcare data.

Their on-premise solution leverages Hadoop and other big data technologies to ensure robust, scalable performance. You’ll play a key role in integrating new data sources and building reliable ETL pipelines, shaping the future of our data infrastructure from the ground up. This is a unique opportunity to work at the core of a critical industry, where your work has real-world impact.

The Role :

As a Data Engineer you will :

• Design, develop and maintain robust end-to-end data pipelines with vast amounts of data powering mission-critical analysis.
• Integrate diverse data sources and contribute to shaping a next-generation data infrastructure.
• Use modern DevOps practices to ensure a robust data process.
• Drive continuous improvement , bringing fresh ideas and exploring new technologies to enhance efficiency and data quality.

The Candidate :

• You have good knowledge of SQL, Python and Spark.
• You have experience in developing and implementing ETL pipelines for large-scale data transfer.
• You have experience dealing with structured and unstructured data from various sources as well as developing scripts for rapid data processing.
• Fluent in German (C1 or native level) – essential for operating in a highly regulated, German-speaking environment.

They are looking to move fast with this hire so please apply or send your CV directly to [emailprotected]

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