(Senior) Data Engineer

KI performance - Munich, Germany, Lisbon, Portugal, Cologne, Germany - original posting ->
Status
Open
Remote policy
Hybrid
Employment type
Not stated
Salary
Not stated
Source
landingjobs
First observed
2026-08-11 23:50 UTC
Last seen
2026-08-11 23:50 UTC
Source claims posted
2026-03-17 10:23 UTC
Consecutive misses
0 of 3

What the posting says

At KI performance (Permanent), in Multiple Locations

Expires at: 2026-09-29

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

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #6893 2026-08-11 23:50 UTC
    Published