Lead Data Engineer - Bukit Merah
With our roots firmly planted in Singapore, we’re now expanding our horizon to several countries in APAC, inviting dynamic talent to grow with us in Technology.
We constantly innovate our clients' and our own businesses. We aim to be one step ahead and build valuable partnerships with digital leaders. To be at the forefront, we must have the best talents on our team. That’s why we have a special approach to our employees.
We believe in an open company culture and relations built on trust. We support our team members in their development, certifications and additional education to deepen their expertise.
The three pillars that make us a unique company are:
- Curiosity - we are curious about people, technology, and business
- Trust - our relationships are built on trust, empowering us to work as a single, cohesive organisation towards our goals
- Courage - we have the courage to challenge ourselves, our customers, and our partners.
About the Role:
We are looking for a highly skilled Lead Data Engineer to join our Singapore office. This role is ideal for someone with deep technical expertise and a passion for mentoring all the data engineers. You will play a key role in building scalable data solutions, supporting pre-sales activities, and strengthening our overall solution offerings in the market.
This is a strategic position that will help shape our data engineering practice and drive revenue growth through technical leadership, solution development, and client engagement.
Main responsibilities:
- Lead the design and implementation of scalable, robust, and efficient data pipelines (ETL/ELT) and data architectures.
- Mentor and guide junior data engineers, fostering technical growth and career development.
- Collaborate with sales and solutions teams to support pre-sales initiatives, including technical presentations, solution design, and proof-of-concepts.
- Work closely with clients to understand business needs and translate them into effective data solutions.
- Develop and maintain data warehouses and data analytics platforms on cloud (Google Cloud preferred).
- Contribute to the continuous improvement of engineering practices, tooling, and methodologies.
- Actively participate in technical solutioning and architecture reviews.
- Collaborate with cross-regional teams and support agile delivery models.
- Stay updated with the latest trends and advancements in data engineering and analytics.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- 5+ years of hands-on experience in data engineering or a similar technical role.
- 1+ years of experience managing or mentoring a team.
- Expertise in Python, SQL, and building complex data pipelines (ETL/ELT).
- Strong experience with data warehousing, data analytics, and scalable data architecture.
- Proven ability to communicate complex technical solutions to both technical and non-technical stakeholders.
- Experience working with Google Cloud Platform (GCP) or equivalent cloud environments.
- Familiarity with Agile methodologies and working in cross-functional, inter-region teams.
- Exposure to PHP, JavaScript, and Object-Oriented Programming (OOP) is a plus.
- Demonstrated problem-solving abilities, adaptability, and proactive mindset.
- Strong team player who can also operate effectively as an independent contributor.
- High level of curiosity, work ethic, and commitment to excellence.
About the Team:
Our team, a vibrant mix of enthusiasts, engineers, and sales experts, thrives on innovation and collaboration. We're driven by the challenge of transforming technology into practical solutions.
Tridorian is a Google Cloud partner operating in Singapore and is beginning its expansion in Asia and the Nordics. Our mission is to harness the symbiosis of technology and human potential to drive transformative solutions. We are dedicated to optimising systems and structures and investing in the people who power these technologies.
We unlock hidden potential and catalyse change by merging Google Cloud’s state-of-the-art technology with our team’s comprehensive expertise. Our commitment spans a range of services, from architecting data roadmaps and managing change to developing sophisticated AI/ML models, ensuring support through the full cycle of AI and data.
We pride ourselves on employing the latest tools and technologies and continuously expanding our know-how to keep pace with the continuous updates of Google Cloud Platform.