Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
About the role
- Data Engineer developing and implementing data models and ETL/ELT processes. Working with cutting-edge technologies in a hybrid environment for innovative digital transformation.
Responsibilities
- Identification and analysis of business/customer requirements
- Design and implementation of data models, data flows, and ETL/ELT processes (SSIS packages, Oracle packages)
- Use of state-of-the-art technologies, including cloud contexts such as Azure, MS SQL Server (SSIS, SSRS, SSAS, MDS), Oracle, Snowflake, Airflow, Databricks, and other components
- Creation of reports (SSRS, Power BI) and cubes (SSAS)
- Continuous optimization and harmonization of data flows and architecture
- Establishment and expansion of data quality processes
Requirements
- Several years of experience in Data Engineering, Big Data, and Business Intelligence
- Deep expertise in data integration and data warehouse design/architecture
- Strong knowledge of SQL, SQL procedures, and implementation of ETL/ELT processes
- Experience with cloud and big data architectures
- University degree or completed vocational training in IT with relevant professional experience
- Willingness to travel within the DACH region (Germany, Austria, Switzerland)
- Very good communication skills in German (at least C1) and English
Benefits
- Attractive, performance-based compensation
- A family-friendly company with flexible working arrangements: remote, on client site, or in the office
- Excellent working atmosphere with flat hierarchies and short decision-making paths
- Individual development and training opportunities — our employees’ expertise drives us forward
- Exciting projects in an innovative and international environment using the latest technologies
- Teamwork is important to us
- Life is more than work; therefore we offer 30 days of vacation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.
Junior Data Engineer at OneMarketData focusing on data quality and integrity in financial datasets. Collaborating with senior analysts and assisting in data management and analysis tasks.
Data Engineer Manager leading robust data solutions for PwC's clients. Transforming raw data into actionable insights and coaching team members.
Senior Data Engineering Analyst developing and implementing data solutions. Collaborating in a diverse environment focused on data processing and analysis for clients' digital transformation.
Principal Software Engineer in Threat Data Platform developing AI - driven tools for threat intelligence automation. Collaborating on robust data pipelines for PANW’s product ecosystem.