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Senior Data Engineer (m/f/x)

Cloudflight

Linz · On-site Senior From €63k/yr 2w ago

About the role

About

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 skills are highly appreciated
  • Willingness to travel occasionally for project needs

Compensation

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.

Equal Opportunity

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.

Application Process

We will go through your application and come back with feedback.

Contact

Any questions? Contact us at jobs@cloudflight.io

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 skills are highly appreciated
  • Willingness to travel occasionally for project needs

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

Skills

Azure SynapseCI/CDDatabricksDataOpsDockerETLFabricIaCJavaKubernetesMLMonitoringPythonRustSQLScala

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