Join Luminor as a Senior Data Engineer in the Markets and Wealth Unit, responsible for designing, building, and evolving enterprise-scale data solutions. The role involves hands-on engineering, architectural thinking, and technical leadership, with a focus on modern data engineering practices, Data Lakehouse platforms, and cloud-native data ecosystems.
Requirements
- Design, develop, and own end-to-end data pipelines, ETL/ELT processes, and large-scale data products.
- Lead the design, implementation, and evolution of Data Lakehouse architectures using AWS services and open table formats.
- Build and operate large-scale data processing solutions using Apache Spark on AWS EMR.
- Develop and orchestrate workflows using Apache Airflow.
- Integrate data from multiple internal and external sources, ensuring high data quality, performance, and reliability.
- Implement and manage data lakes using AWS Glue, Iceberg tables, and cloud object storage.
- Enable analytical access through Amazon Athena and support downstream reporting in PowerBI.
- Define and improve data models, data contracts, and engineering standards across the platform.
- Review technical solutions, mentor other engineers, and act as a technical reference point.
- Identify scalability, performance, and data quality issues and drive continuous improvements.
Benefits
- Flexibility
- International teams
- Culture
- More vacation
- Volunteer time off
- Paid leave
- Health benefits
- Wellbeing
- Professional growth
- Special Offer for Luminor products & services
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