Data Engineer - DSC/JS

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Training & Simulation Systems

Our Training & Simulation Systems delivers learning, training, and simulation solutions and systems that elevate training experiences; offer immersive technologies that transform learning and training; along with training support and consultancy services for aerospace, land, maritime, public safety and security, and commercial segments. We provide comprehensive end-to-end solutions, from design and development to seamless implementation, maintenance, and ongoing operations.

Together, We Can Make A Significant Impact

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments

.You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions

.
Be Part of Our Succe

ssData Engineering & Platform Desi

• gnDesign and develop scalable and reliable data pipeline
• s.Build enterprise data platforms including data warehouses, data lakes, and lakehouse
• s.Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standard

s.Data Integration & ETL/E

• LTLead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considere
• d.Integrate structured, semi-structured, and unstructured data source
• s.Implement and maintain data quality, validation, and error-handling framework

s.Storage & Data Manageme

• ntDesign and manage data storage solutions with a strong emphasis on object storage, data quality, and data governanc
• e.Implement and maintain data lifecycle management and cost-optimisation strategie
• s.Ensure data lineage, traceability, and auditabilit

y.Analytics Enablement & BI Integrati

• onEngineer analytics-ready data models for reporting and self-service analytic
• s.Enable BI Dashboards, Reports, and analytics through performant and governed data pipeline

s.Security, Governance & Complian

• ceEnsure compliance with government security and privacy requirement
• s.Implement and maintain encryption, access controls, and secure data handling practice
• s.Implement and maintain security policies and procedures for the syst

em
Qualities We Va

• lueMinimum 3+ years of experience in enterprise data engineering ro
• lesStrong hands-on data engineering experie
• nceExpertise in ETL/ELT with Talend (highly preferr
• ed)Experience with data warehouses, data lakehouses, data lakes, and object storage syst
• emsQlik Sense Enterprise integration experience (highly preferr
• ed)Strong SQL and Python ski