(Senior) Data Engineer
KI performance Multiple Locations
Looking for a Hybrid Remote DevOps role? (Senior) Data Engineer at KI performance is listed on Makely Remote Jobs as a Full-time opening based in Multiple Locations (Worldwide). Review the role overview below, then apply on the employer’s original listing — Makely Remote Jobs does not process applications.
Role overview
Expires at: 2026-09-29
Remote policy: Partial remote
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
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Data Architecture & Development → Design and implementation of scalable data platforms using Microsoft Azure (Azure Data Lake, Azure SQL, Azure Synapse, Databricks)
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ETL & Data Processing → Building, optimizing, and maintaining high-performance data pipelines with Databricks, Spark, and Kafka
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Data Warehousing & Modeling → Developing robust data models and optimizing performance for efficient queries
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Automation & CI/CD → Implementing CI/CD pipelines to automate deployments and testing
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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
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Technical Expertise → Strong knowledge of Databricks, Spark, Kafka, and data modeling (Star Schema, Snowflake, Data Vault)
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Cloud & Big Data Knowledge → Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks
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Performance Optimization → Understanding of how to scale data pipelines and optimize queries efficiently
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Business Understanding → Ability to develop solutions that are not only technically excellent but also create clear business value
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Communication & Teamwork → Ability to explain complex technical concepts in a clear and understandable way and collaborate with interdisciplinary teams
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Language Skills → Fluent English (C1);
Benefits & Perks
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State-of-the-Art Technologies → Work with Azure, Databricks, and leading cloud technologies on innovative Data & AI projects
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High Performance & Ambition → We are looking for driven professionals who want to make an impact
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Steep Learning Curve & Development Opportunities → Benefit from regular training, certifications, and exciting projects
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Innovative Company Culture → We foster a hands-on mentality, team spirit, and data-driven excellence
Summary provided for discovery. Always confirm details and apply on the original source. Makely Remote Jobs is not the employer and does not process applications.
Frequently asked questions
Is (Senior) Data Engineer at KI performance a remote job?
Yes. This listing is categorized as Hybrid Remote on Makely Remote Jobs. Confirm any location or timezone limits in the original posting before you apply.
What is the employment type for (Senior) Data Engineer?
Source data lists this as Full-time. Always verify the contract type, benefits, and start date on the employer’s application page.
Where is (Senior) Data Engineer located?
Listed location: Multiple Locations. Many remote DevOps roles allow work-from-home with country or timezone restrictions — check the full description.
Do I apply on Makely Remote Jobs?
No. Makely Remote Jobs aggregates public remote job feeds for discovery. Use “Apply on Original Site” to open the employer’s official application URL. We never host applications or collect resumes.
Does KI performance list salary for this DevOps role?
Salary was not published in the source feed. Check the original listing or ask the recruiter during screening for compensation details.