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# Senior Data Engineer

- **Company:** Cloudflight GmbH
- **Location:** Austria (Remote available)
- **Experience:** Expert
- **Salary:** €62,664.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Data Systems, Decision Support Systems, DevOps, Python (Programming Language), DataOps, SQL Databases, Enterprise Data Management, Cloud Platform System, Kubernetes, Data Management, Azure Synapse Analytics, Data Pipelines, Docker, Databricks
- **Published:** August 28, 2026
- **Apply:** https://www.adzuna.at/details/5833562611

## About the Role

* 5+ years of Data Engineering experience, owning complex data systems

 * Strong in Python and SQL; experience with Java/Scala/Rust a plus

 * Hands-on cloud data platform expertise (e.g., Azure Synapse, Fabric, Databricks)

 * Deep understanding of ETL/ELT, data modeling, data governance and security

 * Solid DevOps mindset (Docker/Kubernetes, IaC, CI/CD, monitoring)

 * Strong communication and stakeholder management skills

 * Fluent in English (German is a plus)

 * Willingness to travel occasionally for project needs

## Description

We are looking for an experienced Senior Data Engineer who will design, build, and scale our enterprise data platform ensuring reliable, secure, and high-quality data availability for analytics and AI initiatives. You will combine architectural leadership with hands-on engineering to evolve our data foundations, optimize performance and cost, enforce governance standards, and enable data-driven decision making across the organization. In this role, you will shape the technical direction of our data ecosystem while mentoring others and driving best practices.

Responsibilities

 * Architect, build, and operate scalable data platforms (lakehouse/warehouse) and data pipelines supporting analytics and ML use cases

 * Own end-to-end data workflows: ingestion (batch/streaming), transformation, storage, cataloguing, and delivery - ensuring reliability, performance and cost-efficiency

 * Define and improve data architecture, data models, governance, security, and quality standards

 * Take responsibility for the conception, organization and execution of data projects, including pre-sales activities (scoping, solutioning, client advisory)

 * Drive the data engineering roadmap and evaluate new tools/technologies

 * Implement DevOps/DataOps practices: IaC, CI/CD, automation, monitoring

 * Partner with engineers, data scientists, and business stakeholders to turn requirements into robust technical solutions.

 * Mentor and guide other engineers; lead reviews and best-practice adoption


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