Software Engineer, Data & AI Focus (Contract)

Key Responsibilities:

• Assist in designing, building, and maintaining scalable and robust data ingestion pipelines capable of processing large-scale datasets, including structured, semi-structured (e.g., JSON, XML), and unstructured (e.g., PDFs, text) data.

• Explore and apply LLM and Generative AI technologies to enhance and automate data ingestion processes, extract insights from unstructured data, and improve data preparation efficiency.

• Develop and optimize ETL/ELT processes to support analytics, machine learning models, and operational use cases, focusing on data quality, reliability, and performance under guidance.

• Contribute to the architecture and development of scalable applications and services with clean, modular code, focusing on backend services that support data processing and integration.

• Participate in the full software development lifecycle—from concept and design to testing and deployment, with a strong emphasis on data-centric solutions.

• Collaborate cross-functionally with product managers, data scientists, designers, and other stakeholders to understand requirements and contribute to technical solutions for data-driven initiatives.

• Learn and apply software engineering best practices including CI/CD, automated testing, and DevSecOps principles, with a focus on data pipelines and related applications.

• Gain experience in leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-code for data solutions.

• Participate in code reviews and contribute to a culture of continuous improvement and knowledge sharing, particularly around data engineering and AI integration.

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.

• A strong desire and proven ability to learn new technologies, programming languages, and data engineering concepts quickly.

• Proficiency in at least one modern backend language (e.g., Python, Node.js, Java) and frontend framework (e.g., React, Angular, or Vue). Exposure to data manipulation libraries (like Pandas) is a plus.

• Basic understanding of data structures, databases (SQL or NoSQL), and data processing principles.

• Strong analytical and problem-solving skills, with a methodical approach to tackling challenges.

• Openness to new ways of working, a flexible attitude, and the ability to adapt to changing project requirements and priorities within a contract timeframe.

• A keen interest in leveraging AI and Machine Learning tools, including LLMs and Generative AI, to solve problems and accelerate development. Prior exposure or projects in this area are a bonus.

• Good communication and teamwork skills, with the ability to collaborate effectively with colleagues.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

This is a 1-year contract role. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.