Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design and operate scalable data platforms, develop ETL processes using Apache Spark, and orchestrate data flows in the cloud or on-premises while implementing everything in Python and modern APIs.
Job Technologies
Your role in the team
- Responsibility for the design, development, and operation of scalable, resilient, and secure data platforms for our clients – from data integration through ETL/ELT processes to data provisioning and orchestration (end-to-end data flows).
- Development and optimization of data pipelines based on modern frameworks such as Apache Spark (PySpark), Airflow, or similar technologies.
- Implementation of data pipelines cloud-native (Microsoft Azure, Google Cloud Platform, AWS) or on-premises.
- Implementation of REST APIs for data provisioning and development of services with Python (preferably Flask, FastAPI).
- Application of solid software engineering principles, particularly object-oriented or functional programming paradigms, including testing, code reviews, and automated deployment processes (e.g., with Docker and CI/CD pipelines).
- Technical sparring partner for our clients, identifying potentials for process and platform optimization, and supporting the establishment of sustainable solutions.
- Technical support in the pre-sales process, development of solution concepts, as well as conducting technical presentations and feasibility analyses.
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Our expectations of you
Education
- Completed degree in STEM field or comparable qualification with a strong technical background.
Qualifications
- In-depth knowledge of Python, including software engineering principles, containerization with Docker, and REST API design with Flask or FastAPI.
- In-depth knowledge of cloud platforms (Microsoft Azure, Google Cloud Platform, AWS) and their data services (e.g., Azure Data Lake, BigQuery, S3, Databricks, Glue).
- Understanding of data modeling, Data Lakes, and Data Warehousing solutions.
- Proficient in database technologies (SQL, NoSQL) and data management concepts.
- Very good spoken and written German and English skills.
- A hands-on mentality with a high quality standard as well as a passion for solving complex technical challenges in a solution-oriented and sustainable manner.
Experience
- At least 3 years of hands-on experience in Data Engineering or Data Architecture.
- Experience with Big Data technologies and frameworks such as Apache Spark (PySpark), Airflow, Kafka is advantageous.
- Experience in designing and operating distributed systems and data pipelines.
- Experience in dealing with stakeholders and project management.
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What we offer
- Your annual gross salary is at least EUR 50,000 (All-In) for an Associate and EUR 60,000 (All-In) for a Senior Associate position.
- Depending on your qualifications and experience, we will agree on your actual salary during a personal interview.
- Do you have more than the minimum to offer? So do we. With us, 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