Job
- Level
- Experienced
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
AI Summary
In this role, you develop scalable data architectures, plan data platforms, and enhance data quality through optimal ETL processes while collaborating closely with interdisciplinary teams.
Job Technologies
Your role in the team
- Develop the data architectures of tomorrow: planning, development, and implementation of data platforms and scalable data architectures.
- Ensuring Data Quality and Data Governance: Guaranteeing data quality and consistency as well as implementing Data Governance standards.
- You connect data sources and integrate data from different systems to ensure consistent delivery of up-to-date data.
- Optimization of Data Platforms: Enhancing the performance of databases and storage systems as well as optimizing data flows to maximize efficiency.
- Collaboration with other teams: Data architects work closely with data engineers, developers, analysts, and other departments to ensure that data requirements for analytics, reports, and business applications are met.
- Act as a trusted advisor within the team: providing consulting and support to teams in implementing data architectures to meet data requirements for analytics, reports, and business applications.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, or a comparable field of study.
Qualifications
- In-depth knowledge of one of the common database technologies such as relational databases (e.g., Microsoft SQL Server, Oracle RDBMS, MySQL, PostgreSQL) and/or NoSQL (e.g., MongoDB, Cassandra), ideally in combination with cloud platforms like AWS, Google Cloud, or Azure.
- Strong analytical and problem-solving skills as well as excellent communication in German and English.
- Understanding of Data Governance, Data Quality, and Data Protection Regulations such as GDPR.
Experience
- At least 3 years of professional experience with data architectures (Data Warehouse, Data Lake, Data Lakehouse), data modeling (logical and physical), and their practical implementation.
- Experience with ETL processes and data integration and the corresponding ETL tools (e.g., SSIS, Azure Data Factory, Talend, Informatica).
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Benefits
More net
Work-Life-Integration
Job Locations
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