Senior Data Engineer
Posted 1
view
Summary
Adecco is recruiting a Senior Data Engineer in Singapore for a global financial institution, focused on building and operating production-grade data pipelines, largely in on-premise environments. The core stack is SQL Server, Python, Kubernetes, Airflow-orchestrated ETL/ELT, and Iceberg-based data lake architecture.
Our client is a leading global financial institution with a strong presence across Asia Pacific, EuropE and other major international markets.
The organization is recognized for its commitment to innovation, digital transformation, and technology excellence, investing significantly in modern data platforms, analytics, cloud-native solution and enterprise engineering capabilities.
Must-have qualifications
- 8+ years IT experience; 5+ years hands-on data engineering or data pipeline development
- Expert-level SQL proficiency with strong expertise in SQL Server, including query optimization, indexing, and performance tuning
- Advanced Python programming skills for data processing, automation, and production-grade pipeline development
- Kubernetes expertise - Design, deploy, and manage containerized data pipelines in on-premise environments
- Strong data modeling expertise - Both relational and non-relational concepts
- Proven experience with flexible lakehouse/data lake architecture - Multi-layer data lakes, partitioning strategies, and metadata management, Iceberg tables and optimization
- CI/CD and DevOps practices - Setting up CI/CD pipelines, Git, automated testing, and infrastructure-as-code tools
- ETL/ELT orchestration experience - Apache Airflow or similar tools for scheduling and monitoring batch and real-time jobs
- Hands-on experience with at least one NoSQL database (MongoDB, Cassandra, etc.)
- Data security and governance - Role-based access control, data masking, and compliance sframeworks
- Proven ability to work autonomously on complex projects while maintaining high code quality standards
- Bachelor's degree in Computer Science, IT, Engineering, or related field with demonstrated continuous learning ethos.
Preferred qualifications
- Experience with on-premise data virtualization or logical data warehouse concepts
- Understanding of data mesh or data fabric architecture patterns
- Real-time streaming technologies (Kafka, Apache Flink)
- Metadata management and data lineage tools
Skills
- Airflow
- Analytics
- Automation
- Cassandra
- CI/CD
- Cloud
- Cloud Native
- Data Engineering
- Data Lake
- Data Lineage
- Data Modeling
- Data Pipelines
- Data Warehousing
- DevOps
- ELT
- ETL
- Flink
- Git
- Infrastructure as Code
- Kafka
- Kubernetes
- Lakehouse
- Metadata Management
- MongoDB
- NoSQL
- Python
- SQL
- SQL Server
- Test Automation
- Virtualization