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Senior Data Engineer at Adecco – Singapore | Jobyssey

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Senior Data Engineer

Senior Data Engineer

Adecco · Singapore, Singapore · 2 weeks ago

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Seniority: Senior
Category: Data engineering
Experience: 5+ years

airflow analytics automation cassandra ci-cd cloud cloud-native data-engineering data-lake data-lineage data-modeling

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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

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