data-engineer

Supermom Business is a women and family-focused digital platform where moms can receive shopping and parenting recommendations from other moms. The platform offers a range of freebies and allows moms to earn by sharing reviews and insights within a highly engaged community in Southeast Asia (SEA).

Supermom for Business is an AI-driven data powerhouse that brings mission-centric brands into the hearts and wallets of discerning parents in Southeast Asia. Connecting brands to what consumers want when they want it, Supermom helps win minds and market shares with extraordinary speed.

Our pillars of solutions help brands and businesses achieve various business objectives by connecting them with millions of parents. Whether your business objective is to influence parents' decisions, activate experience and talkability for your brand, become a priority in parents' purchase journey, or establish your brand as an expert within the wider industry—we are your partner of choice in helping millions of families in Southeast Asia live better and smarter

Supermom Business

1. Responsible for data cleaning (ETL) and data warehouse construction to support large-scale AI models.
2. Responsible for training and fine-tuning large AI models to meet the requirements of specific business scenarios.
3. Responsible for developing supporting tools, such as dashboards and general business logic, to ensure the practicality of AI model applications.
4. Must have hands-on development experience and be able to lead a team or independently complete projects related to data collection and development.

Data Engineer, ETL 工程师

Data Engineer ETL responsible for AI model data cleaning and development. Leading projects in a hybrid work environment in Singapore.

Assurity Trusted Solutions Pte Ltd ("Assurity") is a wholly-owned subsidiary of the Government Technology Agency (GovTech).  Assurity was incorporated to operate the National Authentication Framework (NAF) in 2010. 

We have authenticated more than 400 million online transactions for government agencies, leading private sector enterprises and household names in Singapore.  

As the only National Certification Authority (NCA) in Singapore with government-verified identity, we empower your business and provide your customers in Singapore with a unique digital identity (certificate). 

Today we are responsible for driving adoption for the full suite of Singpass APIs (Myinfo, Login, Verify, Sign, Identiface and Authorise) among private sector companies. 

Visit www.assurity.sg or email engagement_office@assurity.sg to find out how you can streamline your processes and save users the hassle of remembering different login credentials.


Assurity Trusted Solutions Pte Ltd

- Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms.
- Develop and optimize data models and tables to support BI tools such as Tableau and internal reporting use cases.
- Work with data scientists and AI engineers to operationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines.
- Implement monitoring, version control, and quality standards across ETL workflows and data schemas.
- Collaborate with business teams to translate data requirements into scalable engineering solutions.
- Ensure data security and compliance with organizational and regional guidelines.

Data Engineer, LLM, ML, GenAI Apps

Data Engineer supporting data pipelines for business insights and GenAI applications at Assurity Trusted Solutions. Collaborating with teams on data workflows in a hybrid environment.

Vistra is a leading provider of essential business services, specializing in global entity management, international expansion, compliance, and administrative support for companies and funds. With a presence in over 50 markets and a strong focus on streamlining operations, Vistra helps businesses navigate complexities in tax, accounting, and employment, ensuring efficient and compliant growth across borders. Their innovative solutions are designed to alleviate operational frustrations, allowing clients to concentrate on their core objectives.

Our purpose is progress. 

Vistra is a leading provider of essential business services to help companies and private capital funds grow across the entire business and investment lifecycle. 

Here at Vistra, our purpose is progress. As a close ally to our clients, we exist to remove the friction that comes from the complexity of global business – to help our clients achieve progress without friction.  We partner with companies and private capital managers along the corporate and private capital lifecycle. From HR to tax and from legal entity management to regulatory compliance, we quietly fix the operational and administrative frustrations that hamper business growth.  With over 9,000 experts in more than 50 markets, we can accelerate progress, improve processes, and reduce risk, wherever your ambition takes you.

VISTRA

• Design and implement scalable ETL/ELT pipelines using AWS services including AWS Glue, Lambda, S3, and Step Functions
• Build and optimize data integration processes connecting MySQL databases, APIs, and external data sources to analytical systems and data warehouses
• Develop automated data quality monitoring, validation, and cleansing processes
• Create and maintain data models, schemas, and documentation to support analytics teams
• Implement real-time and batch data processing solutions using serverless architectures
• Collaborate with development teams to integrate data collection points into Next.js applications and Node.js services
• Build and maintain data analytics APIs and services
• Monitor data pipeline performance, troubleshoot issues, and implement proactive alerting and logging mechanisms
• Design and implement data backup, archival, and disaster recovery strategies
• Work with data analysts and business stakeholders to understand reporting requirements

Data Engineer

Data Engineer at Vistra designing and maintaining data pipelines for analytics. Collaborating with teams and optimizing data integration using modern cloud technologies.

About Crypto.com
Founded in 2016, Crypto.com is trusted by more than 80 million customers worldwide and is the industry leader in regulatory compliance, security and privacy certifications. Our vision is simple: Cryptocurrency in Every Wallet™. Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at https://crypto.com.

Disclaimers for US Customers:  
By using this card you agree to the terms and conditions of the cardholder agreement AND FEE SCHEDULE, IF ANY. This card is issued by Metropolitan Commercial Bank (Member FDIC) pursuant to a license from Visa U.S.A. Inc.  “Metropolitan Commercial Bank” and “Metropolitan” are registered trademarks of Metropolitan Commercial Bank ©2014.

IMPORTANT INFORMATION FOR OPENING A CARD ACCOUNT: To help the federal government fight the funding of terrorism and money laundering activities, the USA PATRIOT Act requires all financial institutions and their third parties to obtain, verify, and record information that identifies each person who opens a Card Account. What this means for you: When you open a Card Account, we will ask for your name, address, date of birth, and other information that will allow us to identify you. We may also ask to see your driver's license or other identifying documents at any time.

Crypto.com

• Manage the daily operations of Hadoop, Spark, Flink, Clickhouse, and other big data platforms to ensure system stability and data security;
• Operate and administer Linux systems, proficient in common commands, with scripting skills in Shell, Python, or similar languages;
• Maintain and operate big data components on cloud platforms (AWS/GCP/Azure), with hands-on experience in container technologies such as Kubernetes and Docker;
• Build and maintain monitoring systems to track platform performance, optimize configurations and resource allocation, and troubleshoot performance issues (tools such as Datadog, Prometheus, Grafana, Zabbix, etc.);
• Deploy, upgrade, and scale core big data components including Flink, Kafka, Spark, Impala, Clickhouse and Kudu;
• Write and maintain technical documentation for operations, and support in platform solution design and upgrades;
• Explore and adopt new technologies to optimize operation processes and provide technical guidance to help client teams improve their capabilities.
• Preferred: Experience on the development of n8n workflow

Senior DataOps Engineer – MainApp infrastructure

Software engineer working on scalable applications involving frontend UI and backend infrastructure for cryptocurrency platform Crypto.com.

Hybrid Data Engineers roles in Singapore

Browse 4 hybrid data engineers roles hiring in Singapore plus related opportunities such as data architect, analytics engineer and product analyst.

4 jobs found