This is a fully remote role to be based in Malaysia. We will prioritize candidates who are based in Malaysia and do not require a work visa sponsorship.
About Us
MoneyHero Group (Nasdaq: MNY) is a market leading financial products platform in Greater Southeast Asia, reaching 9.8m monthly unique users and working with more than 270 commercial partners across five markets including Singapore, Hong Kong S.A.R., Philippines, Taiwan, and Malaysia.
About the Job
The Senior Data Engineer is responsible for overseeing the design, development, implementation, and maintenance of all data-related systems, infrastructure, and processes within an organization. They will lead a team of data engineers and work closely with data scientists, business analysts, and other stakeholders to ensure that data is properly collected, processed, stored, and made available for analysis and decision-making purposes.
The Senior Data Engineer will:
- Develop and implement technical data architecture and engineering strategies to support the organisation's data-driven initiatives, including data warehousing, ETL processes, and data governance.
- Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
- Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
- Manage, guide and support junior data engineers in the development and implementation of data-related solutions
- Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements, and develop and implement solutions.
- Monitor and troubleshoot data-related issues, providing timely resolution and support to minimize downtime and disruption.
In this role, we are looking for someone with:
- At least 4+ years of hands-on experience in data engineering building scalable pipelines and infrastructure
- Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
- Strong technical skills in data warehousing, ETL processes, and database management systems, such as SQL, Python and dbt.
- Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud (BigQuery preferred)
- Knowledge of data security and privacy regulations, such as GDPR and HIPAA
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
- Analytical and problem-solving skills, with the ability to identify and resolve data-related issues and implement effective solutions
- Bachelor's degree in computer science, engineering, or a related field
#LI-Remote
#MoneyHeroGroup
#LI-AK1
What can you expect from us?
Impact: We are actively empowering and connecting people to a better financial future. Join us if you want to help us achieve our mission.
Work: We have a team of over 350 talented individuals in 4 markets who are hyper passionate about building innovative financial solutions and making an impact on people’s lives.
Culture: We take our work seriously but don’t hesitate to keep things light. We can only create magic when we have a little bit of fun.
Thrive: We launched in 2014, and now help over 10 million monthly users make the best financial decisions. Accelerate your career and become a pioneer in your field with a leading fintech company that seeks to push the boundaries of your imagination and is committed to growing your career.
Reputation: We are backed by world-class organizations and companies and have raised over US$110 million from investors including Experian, Pacific Century Group, IFC - a member of the World Bank Group
EEO Statement
MoneyHero Group is an equal opportunity employer. We value, support and respect all individuals and is committed to maintaining an inclusive and diverse working environment. Decisions in hiring are based on business needs, requirements of the job and individual qualifications and shall not be influenced by any consideration of race, ethnic or national origin, religion, sex (including gender identity and/or expression), age, sexual orientation, marital status, parental status, disability, genetic information, political affiliation or other applicable legally protected characteristics.
