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(Senior) Data Engineer

KI performance

München

Hybrid

EUR 70.000 - 90.000

Vollzeit

Vor 12 Tagen

Zusammenfassung

A technology-driven company in Germany is looking for a skilled Senior Data Engineer to enhance their cloud-based data platforms. The role involves designing scalable data architectures, optimizing data pipelines, and collaborating with cross-functional teams. Candidates should have extensive experience with Microsoft Azure, Databricks, and strong communication skills. This position offers opportunities for professional growth and the chance to work with cutting-edge technologies.

Leistungen

State-of-the-art technologies
Steep learning curve and development opportunities
Innovative company culture

Qualifikationen

  • Several years of experience as a Data Engineer or in a similar role, ideally with a focus on Microsoft Azure.
  • Strong knowledge of Databricks, Spark, Kafka, and data modeling.
  • Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
  • Understanding of how to scale data pipelines and optimize queries efficiently.
  • Ability to develop solutions that create clear business value.
  • Ability to explain complex technical concepts and collaborate with interdisciplinary teams.
  • Fluent English (C1).

Aufgaben

  • Design and implement scalable data platforms using Microsoft Azure.
  • Build, optimize, and maintain high-performance data pipelines.
  • Develop robust data models and optimize performance for efficient queries.
  • Implement CI/CD pipelines to automate deployments and testing.
  • Coordinate with Data Scientists and Business Stakeholders.
  • Ensure data solutions are sustainable and future-proof.

Kenntnisse

Data Architecture & Development
ETL & Data Processing
Cloud & Big Data Knowledge
Performance Optimization
Business Understanding
Communication & Teamwork

Tools

Microsoft Azure
Databricks
Spark
Kafka
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
  • 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
Why Join Us?
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