Data Engineer (m/f/d) – Berlin | Hybrid

SGI; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

SGI in Berlin is expanding its Data Engineering team and seeks an experienced Data Engineer who enjoys building modern cloud-based data platforms.

You will design scalable data pipelines, optimize data models and warehouse solutions, and collaborate with analytics, AI projects and business teams. German at C-level and fluent English are required.

The role offers ownership, exposure to AI initiatives, and a friendly, collaborative environment with opportunities for growth and learning.

Qualifikationen

• Around 2–4 years of experience in Data Engineering.
• Strong Python and SQL skills.
• Experience with DBT.
• Knowledge of AWS or another cloud platform.
• Understanding of modern Data Warehouse concepts.
• Experience with Git, CI/CD and Docker.
• Knowledge of Spark, Kubernetes or Scala is an advantage.
• German language skills at C-level and fluent English.

Aufgaben

• Design, develop and maintain scalable data pipelines.
• Build and optimise data models and warehouse solutions.
• Improve data quality, reliability and governance.
• Collaborate with stakeholders to understand business requirements.
• Contribute to automation and engineering best practices.
• Support the continuous improvement of the data platform.

Kenntnisse

Python

SQL

German (C-level)

English (fluent)

Tools

Git

CI/CD

Docker

Spark

Kubernetes

Scala

DBT

AWS

Jobbeschreibung

Our client is expanding its Data Engineering team and is looking for an experienced Data Engineer who enjoys building modern cloud-based data platforms.

You'll work on scalable data solutions that support analytics, reporting and AI initiatives while collaborating closely with engineering and business teams.

Your Responsibilities

• Design, develop and maintain scalable data pipelines.
• Build and optimise data models and warehouse solutions.
• Improve data quality, reliability and governance.
• Collaborate with stakeholders to understand business requirements.
• Contribute to automation and engineering best practices.
• Support the continuous improvement of the data platform.

Your Profile

• Around 2–4 years of experience in Data Engineering.
• Strong Python and SQL skills.
• Experience with DBT.
• Knowledge of AWS or another cloud platform.
• Understanding of modern Data Warehouse concepts.
• Experience with Git, CI/CD and Docker.
• Knowledge of Spark, Kubernetes or Scala is an advantage.
• German language skills at C-level and fluent English.

What You Can Expect

• Modern cloud-based technology stack.
• Exposure to AI and advanced analytics projects.
• High level of ownership.
• Excellent learning opportunities.
• Competitive salary and bonus.
• Friendly and collaborative team environment.