4 days ago
Innsbruck, Austria or Vienna, AustriaSenior
Responsibilities
- Design, develop, operate, and optimize ETL/ELT pipelines from banking source systems into the SPoT Data Warehouse.
- Optimize SQL transformations and data-loading processes for stable and performant operation.
- Develop data-quality checks and monitoring, implement defined KDE thresholds, and investigate errors in production data processes.
- Migrate existing data flows from the AIS legacy system to SPoT and implement new data requirements.
- Collaborate with Data Governance, regulatory stakeholders, Data Engineers, and BI developers and support banking institutions with data-integration questions.
- Support releases and deployments and document data flows and lineage.
Requirements
- Several years of experience developing ETL/ELT pipelines and working with relational databases and data-warehouse environments.
- Very strong SQL skills and knowledge of data modeling, data transformation, and data-quality assurance.
- Professional fluency in German and the ability to communicate in English.
Benefits
- Flexible working models including home office.
- Access to more than 30,000 professional and personal development training courses.
- Certifications and multiple learning platforms.
- Mentoring and coaching programs.
- Mental and emotional wellbeing support through the Well-being Hub and Employee Assistance Program (EAP).
- Flexible working hours and a modern work environment.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.