Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 77.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will take responsibility for developing and implementing data solutions in Palantir Foundry by creating data models and deploying AI/ML applications.
Job Technologies
Your role in the team
- Take end-to-end responsibility for designing, developing, testing, and deploying data and application solutions in Palantir Foundry.
- Build and implement data models and transformations, Python, PySpark, and Foundry-native capabilities, ensuring scalable and reliable data integration.
- Develop business-facing applications, workflows, and operational use cases (e.g., Workshop) in Foundry, translating business requirements into productive solutions.
- Work closely with business and technical stakeholders to understand requirements, refine use cases, and convert them into implementable solution designs.
- Implementation of AI/ML-enabled use cases within the Foundry environment, including predictive analytics, generative AI, and agent-based workflows where relevant.
- Analyze, troubleshoot, and optimize existing data processes, integrations, and application performance in an agile delivery environment.
- Own delivery from requirements clarification through development, testing, deployment, and user enablement.
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Our expectations of you
Education
- Abschluss in Informatik, Data Science, Engineering oder einem verwandten technischen Bereich.
Qualifications
- Strong technical skills in Python, PySpark, Typescript or React.
- Strong understanding of end-to-end solution delivery, from requirements gathering and design to implementation, testing, and go-live.
- Excellent analytical, problem-solving, and communication skills.
- Structured, hands-on, and collaborative working style with the ability to drive topics independently.
- You don’t meet all the listed requirements? No problem! Not every applicant has to fulfil all criteria — we are happy to invest in your abilities!
Experience
- 3–4+ years of professional experience in data engineering, application development, or platform implementation.
- Mandatory: hands-on project experience with Palantir Foundry in a delivery/implementation role.
- Experience working in agile teams and translating business needs into technical solutions.
- Experience with AI/ML use cases is a plus, especially within enterprise data platforms.
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What we offer
- On a full‑time basis, we offer an entry salary for Senior Associate from EUR 60,000 per year (all‑in) or for Manager an annual target salary (including variable components) from EUR 77,000 (all‑in).
- Depending on your qualifications and experience, we will agree your actual salary in a personal conversation.
- Do you have more to offer than the minimum? So do we. At our company, your salary increases annually.
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Benefits
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🏠Home Office
- ⏰Flexible Working Hours
- 👔Textile Service
- 🅿️Employee Parking Space
- 🏝Extra Holidays
- ⏸Educational Leave/Sabbatical
- 😇Time for External Voluntary Work
More net
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 🚎Public Transport Allowance
- 💵Bonus Payments
- 🚙Company Car
- 💰Bonus Commisions
- 📱Company Phone for Private Use
Health, Fitness & Fun
- ♿️No Physical Barriers
- 🧠Mental Health Care
- 💰Team Budget for Free Use
- 🎳Team Events
- 👩⚕️Company Doctor
- 🏋🏿♂️Fitness Offers
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
PwC Österreich
Klagenfurt Am Wörthersee, Graz, Salzburg, Wien, Linz
PwC is one of the leading consulting firms in the world, offering services in auditing, tax and legal advice, and business consulting. We have a long history of providing quality services to our clients, and our team of experts is second to none.
Description
- Company Size
- 250+ Employees
- Founding year
- 1994
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid
- Industry
- Banking, Finance, Insurance, Consulting, Law, Finance, Economics