karriere.at is Austria's largest job portal and consists of around 200 motivated employees who are dedicated to matching talented individuals with companies on a daily basis.
Together with hokify and jobs.at, karriere.at is part of norika, House of Digital Recruiting. Together, we pool our expertise and commitment to the Austrian job market.

As a Cloud Data Platform Engineer (m/w/d), you will design and build the foundational backbone of our data ecosystem. You will provide a modern, highly available, and automated cloud data platform infrastructure, empowering both technical teams and business stakeholders to work seamlessly, securely, and in a data-driven manner. Working in close collaboration with DevOps, SysOps, Architecture, and Data Engineering teams, you will integrate innovative cloud technologies into our existing infrastructure landscape and drive the expansion of our self-service data capabilities.

Cloud Data Platform Engineer (m/w/d)

Your responsibilities

• Infrastructure & Automation: Provide a modern cloud data platform infrastructure by consistently automating resource provisioning using Infrastructure as Code (IaaC), CI/CD pipelines (GitLab), and YAML configurations.
• Architecture & Integration: Collaborate closely with DevOps/SysOps teams, Data Architects, and Data Engineers to seamlessly integrate the cloud data platform into the company-wide infrastructure landscape, optimizing existing tech stacks and establishing central project and team structures.
• Data Security & Governance: Implement robust security and governance controls (AAA / Authentication, Authorization, Accounting), automate policies to comply with internal guidelines, and organize regular security reviews to safeguard sensitive data.
• Platform Stability & Optimization: Ensure high interoperability and stability of platform components using standard protocols and APIs. Take ownership of performance tuning, workload optimization, and cloud environment cost allocation.
• Monitoring, Logging & Alerting: Design and implement comprehensive monitoring, logging, and alerting mechanisms to track performance, detect anomalies early, and guarantee smooth platform operations.
• Enablement & Knowledge Center: Serve as a central knowledge center for cloud tools, network settings, and authorization schemes, supporting both technical and non-technical users in leveraging self-service cloud data capabilities.

Our requirements

• You have at least two years of relevant professional experience as a System Administrator, DataOps Engineer, DevOps Engineer, or in a comparable role.
• You have practical experience in Data Operations and Quality Assurance, as well as solid knowledge of Infrastructure as Code (IaC), CI/CD pipelines, GitLab, and YAML.
• Ideally, you have experience working with cloud platforms, preferably Google Cloud Platform (GCP) or comparable providers.
• You demonstrate a proactive and independent working style, strong problem-solving skills, and a willingness to continuously learn and explore new technologies.
• You have excellent written and spoken English skills. Good knowledge of German is an advantage.

Salary

The actual salary will depend on your qualifications and professional experience and ranges from EUR4.500 to EUR5.500 gross per month, based on full-time employment (38.5 hours per week).

What is your typical working day like?

Depending on the department, our work schedule is very flexible, and you also have the option to work from home on Fridays.

Diversity & Inclusion

We promote initiatives for diversity, equality, and inclusion to create a workplace that values individual differences and perspectives. Regardless of gender, gender identity, sexual orientation, origin, religion, age, or disability--we want everyone to feel welcome here. By the way, you are also welcome to send us your application without a photo or date of birth, because for us, it's your qualifications and personality that count.

If you have any questions about the accessibility of the application process or need individual adjustments to the workplace, please feel free to contact our Talent Acquisition Team.

About this job

Employment type: Full Time (Permanent employment)

Salary: 4,500 EUR to 5,500 EUR monthly

Seniority level: Professional Experience

Work model: Hybrid

Places of work: Wien 2. Bezirk (Leopoldstadt), Linz

Field of work: IT, Data Processing

Unfilled vacancies: 1 vacancy unfilled for this position

About the company

Employer: karriere.at

Number of employees: 101 - 500 employees

Locations: Linz, Wien

Details about this job

Full Time (Permanent employment)

• Monday to Friday
• 38,5 hours

Places of work

• Wien 2. Bezirk (Leopoldstadt)
• Linz

Must-have skills

• Data Infrastructure
• Cloud Technologies
• Data-Self-Service
• IaaC
• GitLab
• YAML
• Data Operations

Nice-to-have skills

• Google Cloud Platform

Required languages

• English C1
• German B2

Benefits

• Transportation allowance
  We offer a transportation allowance of up to EUR500 per year. In Linz, we also provide free parking for all our employees.
• Meal allowance
  On the days you work in the office, you'll receive a generous lunch allowance. You decide where and what to eat - so you can flexibly accommodate your personal preferences, allergies, or food intolerances.
• Snacks
  At the office, we offer you a free breakfast as well as coffee freshly brewed each day by our baristas.
• Education and training
  Your personal and professional development and education are important to us. We support you with an annual training budget that you can use for job-related training.

All infos regarding your application

Application process

• Step 1: First meeting
  If your profile and career history match our job requirements, we will invite you to our first round of interviews by phone. In a pleasant atmosphere, you will get to know your potential manager and the recruiter responsible for your application. During this time, we will tell you more about us and learn more about you and your career history. After a maximum of two weeks, we will contact you with a decision regarding the next steps in the process.
• Step 2: Second meeting
  If the first meeting has convinced both you and us professionally and personally, we will invite you to our second round. Here you can expect a team get-together and a professional deep dive. During the team get-together, you will get to know each other better, both professionally and personally. During the professional deep dive, you will present a case study you have prepared in advance, or we will have a professional discussion with you.
• Step 3: Final decision phase
  During our decision-making phase, we reflect on all discussions and gather feedback from everyone involved. This is also the time for you to reflect on all your impressions and make a final decision. We will discuss a start at karriere.at in a phone call or personally explain the reasons for a rejection.

Reference number: CDPE1126

Required application documents:

• Résumé

Contact person

Janine Daena Endaya
Talent Acquisition Managerin