Software Engineer, Data Analytics

ST Engineering; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading engineering firm in Singapore is looking for a Software Engineer specializing in Data Analytics. You will lead the development of data-driven applications, manage data analytics solutions, and work with cross-functional teams to meet business needs. Ideal candidates have over 5 years of experience, strong programming skills in Python or R, and familiarity with data processing frameworks. The role offers opportunities for growth, innovative projects, and a supportive work culture.

Benefits

Professional development opportunities

Exposure to cutting-edge technologies

Work-life balance support

Qualifications

• Minimum 5 years of software engineering experience focused on data analytics.
• Experience with cloud platforms like AWS or Azure is advantageous.
• Strong communication skills for effective interaction with diverse teams.

Responsibilities

• Lead the development of scalable data analytics solutions.
• Collaborate with data scientists and business analysts to translate requirements.
• Implement data pipelines ensuring quality and accessibility.

Skills

Data analytics expertise

Proficiency in Python

Strong analytical skills

Problem-solving skills

Tools

Apache Spark

SQL

Tableau

Docker

Job description

As a Software 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.
• Expereience 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.