Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 56.000 to 80.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative data solutions on the Databricks platform in Azure, optimize platform performance and governance, and promote AI-driven analytics for business departments.
Job Technologies
Your role in the team
- As a Senior Data Platform & Analytics Engineer, you will assume technical responsibility for the further development of our Databricks platform on Azure.
- They lay the foundation for modern, scalable, and future-oriented data solutions, establish governance standards, and ensure stable, efficient platform operations.
- In this role, you actively drive the implementation of innovative AI technologies and significantly contribute to the development of our data and analytics landscape.
- Responsible for reliable and scalable data provisioning for business units.
- Contribute to the performance, cost, and capacity optimization of the platform.
- Support the development and governance of our Databricks platform.
- Responsible for defining and implementing architecture standards, cluster policies, and best practices.
- Act as the technical contact person and central interface to the IT function.
- Promote and establish AI-powered development and analytics solutions.
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Our expectations of you
Qualifications
- You have already gained expert knowledge in Python (PySpark) and SQL, as well as confident handling of modern cloud architectures.
- Proficient in Git and knowledge of Terraform are advantageous.
- She is characterized by a strong hands-on mentality and enjoys implementing technical solutions.
- You have a strong interest in modern AI technologies and a lived "AI-First" mentality.
- You have very good German and good English skills, both written and spoken.
Experience
- You have several years of solid professional experience in Data Engineering or Platform Engineering, with in-depth knowledge of Databricks and Azure.
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What we offer
- At work, we rely on top-notch equipment and flexibility – from the start, you will receive a tech pack consisting of a laptop, company mobile phone, and headphones, allowing you to work from home whenever it fits with your tasks.
- We offer excellent development opportunities and numerous role-specific training programs.
- We have an affordable canteen where healthy and fresh food is prepared - we also offer special options such as vegetarian or vegan cuisine.
- Our central location on the Danube Canal is quite impressive.
- We support every "green" commute with generous subsidies for the climate ticket, and those who wish can also borrow a company e-bike.
- For this position, a gross annual salary according to the collective agreement of between EUR 56,000 and EUR 80,000 is envisaged.
- What you will actually earn with us is agreed upon during the interview.
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Benefits
More net
- 👷♂️Additional Insurance
- 🚙Company Car
- 🚎Public Transport Allowance
- 💰Bonus Commisions
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 🚂Climate Ticket
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Raiffeisen Gruppe
Graz, Feldkirch, Salzburg, Wien, Wien, Wien, Wien, Linz, Linz
With over 24,700 employees working in 1,955 bank branches, Raiffeisen is the largest banking group in the country.
Description
- Founding year
- 1905
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Senior Data Platform & Analytics Engineer
- Salary
- 56.000 to 80.000€ Gross/YearNet salary converted from the gross salary in the job ad.38.971 to 51.756 € net/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
