Ki Performance · Munich, DE; Lisbon, PT; Cologne, DE
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