Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 62.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
AI Summary
In this role, you will develop data-driven business models, lead interdisciplinary teams to implement complex data pipelines, and advise clients on the industrialization of AI solutions.
Job Technologies
Your role in the team
- Lead our clients into the future by developing innovative and optimized business models from their data.
- In our Data & AI Network, we combine comprehensive strategic, digital, and technological expertise to elevate companies to a new level of innovation and performance.
- Lead with expertise and vision: Utilize your deep technical knowledge and extensive professional experience to lay the foundation for data-driven companies with the data platforms of the future.
- Lead teams and foster synergies: As an experienced manager, you lead interdisciplinary teams, identify data sources, develop complex data models, and implement productive data pipelines both in the cloud and on-premises.
- Advise at the highest level: In close collaboration with the decision-makers on the client side, you ensure that end-to-end data pipelines are successfully implemented and serve as a fundamental basis for the industrialization of artificial intelligence.
- Utilize your extensive professional experience to significantly contribute to our clients' transformation and develop innovative solutions.
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Our expectations of you
Education
- Completed master's degree or a PhD in the IT field, preferably with a focus on Data Engineering, Computer Science, IT, or Software Engineering.
Qualifications
- Advanced knowledge in these areas is assumed: Software Engineering (e.g., Python, Scala, Java), Version Control System (e.g., Git), Data Manipulation (e.g., SQL, R, Spark), On-premise & Cloud Data Warehouse/Data Integration (e.g., Talend, Microsoft Data Factory/SSIS, Azure Synapse, Telegraf), On-premise & Cloud SQL Databases (e.g., MS SQL Server, Oracle, Postgres).
- The following skills in one or more of these areas are desirable: Continuous Integration & Delivery (e.g., Unit Testing, Jenkins, Release Management), Cloud Architectures (e.g., AWS, Azure, GCP – certifications preferred), On-premise & Cloud Big Data / In-Memory Databases (e.g., Snowflake, Cloudera), On-premise & Cloud NoSQL Databases (e.g., MongoDB, InfluxDB), Web APIs (e.g., REST, SOAP).
- Project-related mobility, strong communication skills in German and English, and a high customer orientation.
Experience
- At least two years of professional experience in a relevant field.
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Benefits
More net
Work-Life-Integration
Job Locations
Location Vienna
Schottenring 16
1010 Wien
Austria
Topics that you deal with on the job
This is your employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding year
- 1993
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Culture
3.9Workingconditions
4.3Career Growth
3.8Engineering
3.0
Senior Data & Machine Learning Engineer
- Salary
- from 62.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
