Senior Data Engineer

trinity consulting services pte. ltd.; Singapore; On-site; SGD 140,000 - 200,000; Full time

Job summary

Trinity Consulting Services Pte. Ltd. seeks a senior data engineer to design and optimize end-to-end data pipelines. The role requires 8+ years in IT with 5+ years in data engineering, strong SQL Server skills, and Python for production-grade pipelines.

The candidate will work on on-premise, lakehouse architectures, and implement CI/CD, Airflow orchestration, Spark processing, and data governance measures.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field with continuous learning ethos.
• Minimum 8+ years IT experience with at least 5+ years hands-on data engineering or datapipeline 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 – relational and non-relational concepts.
• Proven experience with flexible lakehouse/data lake architecture – multi-layer data lakes, partitioning, metadata management, Iceberg tables, optimization.
• CI/CD and DevOps practices – setting up CI/CD pipelines, Git, automated testing, 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.).
• Hands-on experience with Apache Spark and PySpark for distributed data processing and performance optimization.
• Data security and governance – RBAC, data masking, and compliance frameworks.
• Proven ability to work autonomously on complex projects while maintaining high code quality standards.
• Excellent problem-solving, communication, and cross-functional collaboration skills.

Skills

SQL

Python

Kubernetes

Data modeling

Lakehouse architecture

CI/CD

ETL/ELT orchestration

Apache Airflow

NoSQL databases

Apache Spark / PySpark

Data security & governance

Autonomy

Problem-solving

Communication

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, IT, Engineering, or a related field

Tools

SQL Server

Airflow

Spark / PySpark

Iceberg

Job description

Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.

Must have a minimum of 8+ years IT experience with at least 5+ years hands-on data engineering or datapipeline development

Expert-level SQL proficiency with strong expertise in SQL Server, including queryoptimization, indexing, and performance tuning

Advanced Python programming skills for data processing, automation, and production-grade pipeline development

Kubernetes expertise – Design, deploy, andmanage containerized data pipelines in on-premise environments

Strong data modellingexpertise– Both relational and non-relational concepts

Proven experience with flexible lakehouse/data lake architecture – Multi-layer datalakes, partitioning strategies, and metadata management, Iceberg tables, and optimization

CI/CD and DevOps practices– Setting up CI/CD pipelines, Git, automated testing, andinfrastructure-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.)

Hands-on experience with Apache Spark and PySpark for distributed data processing andperformance optimization

Data security andgovernance– Role-based access control, data masking, and compliance frameworks

Proven ability to work autonomously on complex projects while maintaining high codequality standards

Excellent problem-solving, communication, and cross-functional collaboration skills