Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 62.664 € gross/year
- Location
- Graz, Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop a scalable data platform, optimize ETL processes, and manage end-to-end data workflows while mentoring the technical team and implementing DataOps practices.
Job Technologies
Your role in the team
- 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.
- 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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Our expectations of you
Qualifications
- 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.
Experience
- 5+ years of Data Engineering experience, owning complex data systems.
- Strong in Python and SQL; experience with Java/Scala/Rust a plus.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Cloudflight GmbH
Wien, Linz, Hagenberg Im Mühlkreis
Our team of creative experts works hand-in-hand with our clients to develop tailor-made solutions, products, and platforms. We have over 400 digital strategists, experienced software architects, leading data scientists, and cloud engineers worldwide who collaborate closely to achieve the best results.
Description
- Company Size
- 250+ Employees
- Founding Year
- 2005
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.8
Workingconditions
4.2Culture
3.7Engineering
3.7Career Growth
3.8
Senior Data Engineer
- Salary
- from 62.664 € gross/yearEstimated net salary based on the gross salary in the job ad.from 42.521 € net/year
- Location
- Graz, Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
