(Senior) Data Engineer

KI performance; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech-driven company in Germany is looking for a (Senior) Data Engineer. In this role, you'll develop and optimize cloud-based data platforms using Azure, Databricks, and other advanced technologies. Responsibilities include designing data architectures, building high-performance data pipelines, and collaborating with interdisciplinary teams to deliver solutions that add business value. Candidates should have strong experience with data engineering, particularly in Microsoft Azure, and be fluent in English.

Leistungen

State-of-the-Art Technologies

Regular training and certifications

Innovative Company Culture

Qualifikationen

• Several years of experience as a Data Engineer or in a similar role.
• Strong knowledge of Databricks, Spark, Kafka, and data modeling.
• Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.

Aufgaben

• Design and implementation of scalable data platforms using Microsoft Azure.
• Building, optimizing, and maintaining high-performance data pipelines.
• Developing robust data models and optimizing performance for efficient queries.
• Implementing CI/CD pipelines to automate deployments and testing.
• Close coordination with Data Scientists, Analytics Teams, and Business Stakeholders.
• Ensuring data solutions are sustainable and maintainable.

Kenntnisse

Databricks

Spark

Kafka

Data modeling

Microsoft Azure

CI/CD

Fluent English (C1)

Tools

Azure Data Factory

Azure Synapse Analytics

Jobbeschreibung

At KI performance (Permanent), in Multiple Locations

Expires at: 2025-12-28

Remote policy: Partial remote

As a (Senior) Data Engineer, you will be the driving force behind the development and optimization of our cloud-based data platforms. Working at the intersection of business and technology, you will ensure that our data solutions are not only technically excellent but also provide real business value to our customers.

Using state-of-the-art technologies, you will develop robust data pipelines, ETL processes, and high-performance data models that enable scalable and efficient data utilization. Your goal: turning data into a strategic asset that empowers companies to make smarter decisions.

Your Responsibilities

• Data Architecture & Development – Design and implementation of scalable data platforms using Microsoft Azure (Azure Data Lake, Azure SQL, Azure Synapse, Databricks)
• ETL & Data Processing – Building, optimizing, and maintaining high-performance data pipelines with Databricks, Spark, and Kafka
• Data Warehousing & Modeling – Developing robust data models and optimizing performance for efficient queries
• Automation & CI/CD – Implementing CI/CD pipelines to automate deployments and testing
• Collaboration with Business & Tech Teams – Close coordination with Data Scientists, Analytics Teams, and Business Stakeholders to develop data-driven solutions
• Best Practices & Scalability – Ensuring our data solutions are sustainable, maintainable, and future-proof

Main requirements

• Experience & Tech Stack – Several years of experience as a Data Engineer or in a similar role, ideally with a focus on Microsoft Azure
• Technical Expertise – Strong knowledge of Databricks, Spark, Kafka, and data modeling (Star Schema, Snowflake, Data Vault)
• Cloud & Big Data Knowledge – Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks
• Performance Optimization – Understanding of how to scale data pipelines and optimize queries efficiently
• Business Understanding – Ability to develop solutions that are not only technically excellent but also create clear business value
• Communication & Teamwork – Ability to explain complex technical concepts in a clear and understandable way and collaborate with interdisciplinary teams
• Language Skills – Fluent English (C1)

Benefits & Perks

Why Join Us?

• State-of-the-Art Technologies – Work with Azure, Databricks, and leading cloud technologies on innovative Data & AI projects
• High Performance & Ambition – We are looking for driven professionals who want to make an impact
• Steep Learning Curve & Development Opportunities – Benefit from regular training, certifications, and exciting projects
• Innovative Company Culture – We foster a hands-on mentality, team spirit, and data-driven excellence