Senior Data Engineer (Banking/FSI)
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Summary
Senior Data Engineer Consultant at Keyrus in Singapore, supporting enterprise data transformation projects: reviewing and validating data pipelines, data models, and architecture while ensuring governance, security, and performance standards. Core stack is Databricks, Python/PySpark, and SQL, serving banking/FSI clients.
Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.
As part of Keyrus' solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges .
About the Role We are looking for
a Senior Data Engineer Consultan t to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.
Key Responsibilities Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation. Provide independent technical validation and recommendations to ensure alignment with business and technology objective. Ensure data solutions comply with governance, security, scalability, and performance standards. Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges. Identify risks, gaps, and opportunities for improvement across data platforms and process. Support project governance, acceptance reviews, and technical sign-off activities.
Requirements 5+ years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery. Hands-on experience of Databricks, Python (PySpark), and SQL Experience reviewing solution designs, data models, and enterprise-scale data pipelines Understanding of data governance, data quality, and cloud architecture best practices. Ability to engage with both technical and business stakeholders Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.
As part of Keyrus' solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges .
About the Role We are looking for
a Senior Data Engineer Consultan t to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.
Key Responsibilities Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation. Provide independent technical validation and recommendations to ensure alignment with business and technology objective. Ensure data solutions comply with governance, security, scalability, and performance standards. Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges. Identify risks, gaps, and opportunities for improvement across data platforms and process. Support project governance, acceptance reviews, and technical sign-off activities.
Requirements 5+ years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery. Hands-on experience of Databricks, Python (PySpark), and SQL Experience reviewing solution designs, data models, and enterprise-scale data pipelines Understanding of data governance, data quality, and cloud architecture best practices. Ability to engage with both technical and business stakeholders Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.