Data Engineer (m/f/x)
Join our team as a Data Engineer and help design cutting-edge data solutions, optimize pipelines, and create impactful, custom architectures while collaborating with brilliant minds across teams!
What if your passion for technology could make a difference?
We're currently looking a skilled Data Engineer to join our team in designing and building data solutions that meet our clients' dynamic data needs. You will be responsible for assisting in the design and implementation of data architectures, supporting data quality and governance practices, fostering best practices in data engineering, and collaborating with other engineers. You apply your bright ideas, and together with an experienced team of over one thousand brilliant people, you create value-driven custom solutions.
Your daily tasks will include
☁️ Designing and implement data pipelines and workflows, ensuring efficient data extraction, transformation, and loading (ETL) processes.
☁️ Monitoring and optimizing data pipeline performance, identifying and resolving bottlenecks to ensure seamless data flow.
☁️ Assisting in designing and developing enterprise-level data architectures to create scalable and efficient data processing pipelines.
☁️ Contributing to the creation of technical roadmaps and data strategies that drive data initiatives.
☁️ Exploring and evaluating new data technologies and methodologies, developing proof-of-concepts to validate their applicability.
☁️ Collaborating with senior engineers, software engineers, data scientists, and analysts to learn data engineering practices, understand data needs, and develop effective solutions.
The following will make you succeed in this role
⭐️ Minimum 3 years of experience as a Data Engineer with an analytical mindset and problem-solving abilities
⭐️ Expertise with: ETL/ELT Tooling, Data Modelling, Data Catalogs, Data Governance
⭐️ Hands-on experience with:
- One of: Python, SQL, Java, Scala and/or Rust
- Azure Synapse, Microsoft Fabric, Databricks, dbt
- Infrastructure as Code
- Containerization (Docker, Kubernetes)
- CI/CD pipelines and DevOps practices
⭐️ Fluency in German and English
⭐️ Willingness to travel occasionally for project-related activities within the DACH region.
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.
Austria: The law stipulates that the minimum wage must be specified in job postings. The minimum salary is 53.802 euros/year in the collective agreement. Adequate to your skills, we are willing to pay much more.
We will go through your application and come back with feedback.
Any questions? Contact us at jobs@cloudflight.io
#LI-DNI
- Area
- Tech roles (Delivery)
- Role
- Cloud AI, Web
- Locations
- Innsbruck (Austria), Graz (Austria), Linz (Austria), Vienna (Austria), Amstetten (Austria), St. Pölten (Austria), Ried im Innkreis (Austria)
- Remote status
- Hybrid Remote
Benefits and Perks
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Learning and development opportunities
Dedicated programs that will support your growth from day one.
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Location-specific benefits
Get to know colleagues of different backgrounds and enjoy various local benefits.
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Workplace flexibility
Enjoy the harmony between private and professional life through remote options, flexible working hours and part time models.
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Referral program
Get rewarded for bringing your friends to Cloudflight.
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Team & company events
Always feel empowered to have fun. Welcome days, seasonal local and global events are waiting for you.
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Mental health
Sometimes life gets hard, but here you will always feel safe and be heard. In a case of need, you are encouraged to consult a professional psychologist recommended by the company.
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It’s the little things...
Snacks, fruits in the office, gifts for your new diploma or your wedding, books and many more little surprises.
Data Engineer (m/f/x)
Join our team as a Data Engineer and help design cutting-edge data solutions, optimize pipelines, and create impactful, custom architectures while collaborating with brilliant minds across teams!
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