At Cloudflight, we’re committed to making a digital difference. It’s a difference that impacts businesses and society alike and one that’s fueled by our passion for technology and our dedication to sparking the brightest ideas in ourselves and others.
Role Overview
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
Requirements
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
Austria: The law stipulates that the minimum wage must be specified in job postings. The minimum salary is 62.664 euros/year in the collective agreement. Adequate to your skills, we are willing to pay much more.
We are an equal opportunity employer. We strive to create an inclusive environment where everyone can thrive regardless of their background and circumstances. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.
We will go through your application and come back with feedback.
Any questions? Contact us at [email protected]
Skills Required
- 5+ years of Data Engineering experience, owning complex data systems
- Strong in Python
- Strong in SQL
- Experience with Java/Scala/Rust
- Hands-on cloud data platform expertise (Azure Synapse, Microsoft Fabric, Databricks)
- Deep understanding of ETL/ELT, data modeling, data governance and security
- DevOps/DataOps skills (Docker, Kubernetes, IaC, CI/CD, monitoring)
- Strong communication and stakeholder management skills
- Fluent in English
- German language skills
- Willingness to travel occasionally for project needs
What We Do
Cloudflight is a leading European full-service provider specializing in industrial digital transformation. The company employs over 1,000 experts, including software engineers and data scientists, to help businesses co-create digital value. Their expertise spans customized software development, cloud-native solutions, Artificial Intelligence, and eCommerce, supporting companies in evolving their digital processes, products, and business models to drive progress, resilience, and innovation across various industries.
