Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 65.000 to 84.500€ Gross/Year
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop data-driven solutions, lead interdisciplinary teams, implement data pipelines in cloud and on-premise environments, and transform customers with innovative business models.
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.
- We work across industries, so you can learn something new every day and significantly advance your career.
- Utilize your deep expertise and extensive professional experience to lay the foundation for data-driven companies with the data platforms of the future.
- As an experienced leader, you manage interdisciplinary teams, identify data sources, develop complex data models, and implement productive data pipelines both in the cloud and on-premises.
- 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 Software Engineering (e.g., Python, Scala, Java), Version Control Systems (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) is required.
- Knowledge in 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) are desirable.
- 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
Work-Life-Integration
More net
Health, Fitness & Fun
Job Locations
Location Vienna
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
- 65.000 to 84.500€ Gross/Year
- Location
- Vienna
- Working Model
- Onsite
