Senior / Data Engineer (AGC)

About GovTech & AGC

GovTech Singapore leads the nation’s efforts in digital transformation for the public sector, leveraging its expertise in Infocomm Technology, Smart Systems, Application Development, Digital Infrastructure, and Cybersecurity. The Attorney-General's Chambers (AGC), the government's chief legal agency, is investing in advanced data and AI solutions to enhance legal service delivery—including modern legislation drafting systems, centralized data infrastructure, and AI-driven knowledge tools.

Role Overview

As a Senior / Data Engineer, you will shape the digital backbone supporting AGC’s analytics and artificial intelligence goals. Your work will span building and maintaining robust AWS cloud infrastructure, integrating siloed datasets into a centralized warehouse, and preparing data to power AI and natural language processing applications within legal frameworks.

Key Responsibilities

• Design, deploy, and maintain scalable data pipelines and system integrations across AGC’s legal data landscape.
• Consolidate disparate datasets from multiple teams into a well-governed central data warehouse environment.
• Implement and manage cloud resources on AWS to support analytics and business needs, ensuring both security and scalability using Infrastructure-as-Code methodologies like Terraform.
• Structure and prepare data to drive development of AI-powered and LLM-based tools within AGC’s product suite.
• Collaborate with analysts, infrastructure teams, product managers, and subject matter experts to translate business logic into technical solutions.
• Monitor data quality, identify issues, and implement solutions to strengthen reliability.
• Establish standards for data collection, integration, and technical specifications within the organization.
• Assess and transform unstructured legal documentation into tagged and classified structured data for analytics and AI consumption.
• Stay informed about trends and advancements in data science and AI relevant to legal operations.
• Define, document, and propagate data governance best practices, from access control to lineage and reproducibility.
• Empower non-technical colleagues by sharing knowledge and creating a data-literate environment.

Requirements

• 5 to 8 years of experience in data engineering or cloud engineering, particularly in complex or undefined environments.
• Advanced proficiency in Python and SQL for data engineering and automation tasks.
• Strong hands-on experience with AWS services (e.g., S3, Glue, Redshift, Lambda) and designing cloud architectures for data workloads.
• Track record in developing and maintaining data models, integrations, and pipelines within data warehouse platforms such as Databricks, Snowflake, BigQuery, or PostgreSQL.
• Experience working within agile, cross-functional teams.
• Effective communicator, able to clearly present findings to both technical and non-technical stakeholders.
• Proactive and structured in ambiguous situations, driving outcomes without full information.
• Preferred: Experience in Infrastructure-as-Code (e.g., Terraform), unstructured data processing, and/or regulated sectors like legal or government.

Additional Information

• Employment is via a 2-year fixed-term contract.
• Flexible work arrangements may be available, subject to role requirements.

Perks & Benefits

• Inclusive and diverse work culture supportive of continuous learning and development.
• Comprehensive leave and wellness benefits supporting work-life balance.
• Empowered environment with flexibility and autonomy in work arrangements, where feasible.