Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 61.000 € Gross/Year
- Location
- Innsbruck, Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven business models, lead interdisciplinary teams, and implement productive data pipelines and complex data models in both cloud and on-premise environments.
Job Technologies
Your role in the team
- Lead our clients into the future by developing innovative and optimized business models from their data.
- Utilize your deep expertise and extensive 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 these areas is assumed: 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).
- Knowledge in one or more of the following areas is 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 3 years of professional experience in a relevant field.
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What we offer
- Flexible working time models, part-time work, and home office.
- Top prospects through regular training, professional development, and continuing education opportunities.
- Interesting development opportunities and attractive career paths.
- Access to the knowledge and experience pool within the global Accenture network.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
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
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Engineering
3.0Career Growth
3.8Workingconditions
4.3Culture
3.9
Senior Data & Machine Learning Engineer
- Salary
- from 61.000 € Gross/Year
- Location
- Innsbruck, Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
