Assurity Trusted Solutions

Builds and secures digital systems for organisations

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

At least 3 years of experience as a Data Engineer, with a proven track record of designing and deploying large-scale data solutions.
Strong proficiency in programming languages, particularly Python, PySpark, and SQL derivatives (MySQL, NoSQL, etc.).
Experience working with structured, semi-structured, and unstructured data.
Experience with AWS ETL and orchestration tools such as AWS MSK (Kafka), Firehose, SNS, Airflow, or equivalent.
Extensive knowledge of data modelling, data access, and data storage infrastructure like data lakes (both SQL and NoSQL) and data warehouses (e.g., AWS S3, AWS Redshift, AWS Athena, BigQuery, RDBMS, NoSQL databases).
Knowledge of open table formats such as Apache Iceberg and Parquet.
Familiarity with data mesh principles, domain ownership, data product thinking, and federated governance.
Familiarity with Big Data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP).
Solid understanding of data architecture concepts, data lakes, and data marts, data catalogs, data governance, metadata management, and RBAC/ABAC models.
Ability to mentor and guide team members in best practices and new technologies.

Responsibilities

Design, implement, and maintain scalable data pipelines and ETL processes to ingest, catalog, and normalize data, ensuring high data quality and availability.
Create and manage APIs for data access, integration, and delivery to various stakeholders.
Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
Structure and document data transformation processes to enhance efficiency and maintainability.
Lead data modelling efforts to ensure that data architecture supports business goals and analytical initiatives.
Configure, curate, and maintain the central data catalog or metadata repository, such as DataZone or similar data catalogue and governance platforms.
Implement best practices for data governance and maintain compliance with relevant regulations.
Collaborate with the Project Manager, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
Support data consumers in subscribing to and using approved data products across domains.
Develop backend APIs and work on databases to support applications.
Work in an Agile environment that practices Continuous Integration and Delivery.

Data Engineer

Assurity Trusted Solutions · Singapore, Singapore · — · Posted 2026-07-29

Workplace: on_site

Department: CSA

Description

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

Key Responsibilities:

Design, implement, and maintain scalable data pipelines and ETL processes to ingest, catalog, normalise data and to ensure high data quality and availability.
Create and manage APIs for data access, integration, and delivery to various stakeholders.
Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
Optimally structure and document data transformation processes to enhance efficiency and maintainability.
Lead data modelling efforts to ensure that data architecture supports business goals and analytical initiatives.
Configure, curate and maintain the central data catalog or metadata repository e.g. DataZone or similar data catalogue and governance platforms
Implement best practices for data governance and maintain compliance with relevant regulations.
Collaborate with Project Manager, Frontend Developers, UX Designers and Data Analyst to build scalable data-driven products
Support data consumers in subscribing to and using approved data products across domains
Be responsible for developing backend APIs & working on databases to support the applications
Work in an Agile Environment that practises Continuous Integration and Delivery

Requirements

At least 3 years of experience as a Data Engineer, with a proven track record of designing and deploying large-scale data solutions.
Strong proficiency in programming languages, particularly Python, PySpark and SQL derivatives (MySQL, NoSQl, etc.).
Experience working with structured, semi-structured, and unstructured data
Experience with AWS ETL and orchestration tools such as AWS MSK (Kafka), Firehose, SNS, Airflow or equivalent.
Extensive knowledge of data modelling, data access and data storage infrastructure like Data Lake (both SQL and NoSQL) and Data Warehouses (e.g., AWS S3 , AWS Redshift, AWS Athena, BigQuery, RDBMs, NoSQL DBs).
Knowledge of open table formats such as Apache Iceberg, Parquet etc.
Familiarity with data mesh principles, domain ownership, data product thinking and federated governance
Familiarity with Big Data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP).
Solid understanding of data architecture concepts, data lakes, and data marts, data catalog, data governance, metadata management and RBAC/ABAC models
Exceptional analytical and problem-solving skills, with the ability to work in a fast-paced, collaborative environment.
Excellent communication skills and experience working with stakeholders at various levels.
Ability to mentor and guide team members in best practices and new technologies.

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will commensurate with your qualifications and experience. Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.

Benefits

We promote a learning culture and encourage you to grow and learn.
Annual Leave Benefits with additional perks such as Family Care and Birthday Leave.
Working in a collaborative environment with helpful team members

Apply

Apply at Assurity Trusted Solutions

About the Company

Assurity Trusted Solutions

Builds and secures digital systems for organisations

Assurity Trusted Solutions sells technology services to Singapore government agencies and commercial customers. Its engineers take digital products from design through operation, while managed services teams support the infrastructure and business processes behind them. Its assurance practice advises customers on cyber risks and tests applications, networks and systems for weaknesses before attackers exploit them. The business also supports agency product adoption, connecting government services with users and private sector organisations. Founded in 2010 by Singapore's Infocomm Development Authority, Assurity is headquartered in Singapore and is a wholly owned subsidiary of the Government Technology Agency.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2010

Recently Posted Jobs

Explore more opportunities at Assurity Trusted Solutions

See more jobs