Data Engineer

We’re looking for a Full Stack Data Engineer to join a leading financial services organisation in Singapore.

Responsibilities:

• Design and develop scalable, secure, and maintainable data architectures and pipelines
• Build and enhance data platforms, ETL processes, and data models
• Support the deployment and operationalisation of AI/ML solutions
• Implement best practices around data quality, governance, metadata, lineage, and platform reliability
• Develop and maintain APIs and scalable microservices
• Contribute to cloud and hybrid data architecture initiatives
• Work closely with technology, data, business, and senior stakeholders to translate requirements into effective technical solutions
• Contribute to CI/CD, DevOps, and enterprise integration initiatives
• Collaborate with cross-border and multicultural teams across the organisation

Qualifications:

• 5+ years of relevant experience in Data Engineering, MLOps, Full Stack Engineering, or related areas
• Experience within the financial services / banking sector is highly preferred
• Strong hands-on experience with Python, Java, and/or Unix scripting
• Experience with data orchestration tools such as Airflow or Autosys
• Strong understanding of data management, data quality, metadata, lineage, and governance
• Experience with CI/CD and DevOps, ideally with tools such as Jenkins or Ansible
• Experience with cloud and data technologies such as AWS, Snowflake, EMR, or similar platforms
• Strong knowledge of ETL, physical data modelling, and data pipeline development
• Experience developing microservices and server-side APIs
• Front-end experience with React is a plus
• Strong analytical, communication, and stakeholder management skills

Please contact Ella Godinez at [email protected] for a confidential discussion

EA License no: 16S8066