Software Engineer, Data Analytics

Roles & Responsibilities

Join ST Engineering IHQ Pte. Ltd., a global leader in advanced engineering solutions, at our innovative ST Engineering Hub as a 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 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.

· A supportive work culture that encourages work-life balance and wellbeing.

Tell employers what skills you have

Tableau
Machine Learning
Kubernetes
Azure
Pipelines
Hadoop
Software Engineering
ETL
SQL
Python
Docker
Java
Data Analytics
Data Warehousing
Software Development
Data Visualisation