Job Description

Senior Software Engineer, Data Analytics, GEC

Join ST Engineering IHQ Pte. Ltd., a global leader in advanced engineering solutions, at our innovative ST Engineering Hub as a Senior Software Engineer in Data Analytics within the GEC division. This pivotal role offers you the opportunity to work at the forefront of data analytics, driving impactful insights and solutions that enhance decision-making across diverse business units.

About the Role

As a Senior Engineer specialising in Data Analytics, you will spearhead the design, development, and optimisation of data-driven applications and analytics platforms. Your expertise will enable the transformation of complex data sets into actionable intelligence, supporting strategic initiatives and operational excellence across the organisation.

Key Responsibilities

• Lead the end-to-end development of scalable data analytics solutions, including data collection, processing, and visualisation.
• Collaborate cross-functionally with data scientists, business analysts, and software engineers to translate business requirements into technical specifications.
• Architect and implement robust data pipelines and analytics frameworks that ensure data quality, security, and accessibility.
• Drive innovation by exploring advanced analytics methodologies, machine learning algorithms, and emerging technologies relevant to the Data Analytics domain.
• Provide mentorship and guidance to junior engineers, fostering knowledge sharing and professional growth within the team.
• Conduct code reviews and uphold best practices in software development, ensuring maintainability and performance optimisation.
• Engage with key stakeholders to understand evolving business needs and deliver solutions that align with organisational goals.

Professional Qualifications and Skills

• Minimum 5 years of experience in software engineering with a strong focus on data analytics.
• Proficiency in programming languages commonly used for data analytics, such as Python, R, or Java, and familiarity with SQL and NoSQL databases.
• Demonstrable expertise in data processing frameworks such as Apache Spark, Hadoop, or similar technologies.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerisation tools (e.g., Docker, Kubernetes) is an advantage.
• Solid understanding of data warehousing concepts, ETL processes, and data visualisation tools (e.g., Tableau, Power BI).
• Strong analytical, problem-solving, and communication skills to interact effectively with diverse teams.
• Ability to manage multiple priorities and deliver high-quality outputs in a dynamic environment.
• Experience working with full-stack software engineering technology is a bonus.

What We Offer

At ST Engineering, we are committed to fostering an inclusive and engaging workplace where innovation thrives and careers flourish. As part of our team, you will benefit from:

• Opportunities for continuous professional development and career advancement.
• Exposure to cutting-edge technologies and projects with global impact.
• A collaborative environment that values diversity, creativity, and forward thinking.
• Competitive remuneration package and comprehensive benefits.
• A supportive work culture that encourages work-life balance and wellbeing.

About ST Engineering IHQ Pte. Ltd.

ST Engineering is a global technology, defence and engineering group specialising in the aerospace, electronics, land systems and marine sectors. Our commitment to excellence, innovation, and sustainability drives us to create solutions that empower communities and strengthen industries worldwide. The GEC division focuses on advancing global engineering capabilities with a strong emphasis on leveraging data and technology to deliver superior outcomes.

How to Apply

We welcome applications from talented individuals who are passionate about data analytics and eager to contribute to meaningful projects that make a difference. Join us at ST Engineering Hub and be a part of our transformative journey.