Data Engineering Manager

If you’re passionate about developing people and building scalable, modern data platforms, this could be the role for you.

We’re building a world-class, data-driven organization, and at the core of that mission is a high-performance, cloud-native data platform. This platform empowers embedded analysts and enables engineering teams across the company to make timely, data-informed decisions.

As Data Engineering Manager, you’ll lead a team of data and analytics engineers while remaining hands-on with the platform itself. You’ll work with large-scale datasets that power both automated systems and human decision-making, acting as a central connector between data producers and consumers across the organization.

What You’ll Do

People Leadership

• Lead, coach, and mentor a team of data engineers and analytics engineers
• Support career development through regular 1:1s, feedback, and growth plans
• Remove technical and organizational blockers to help the team succeed
• Participate in hiring and onboarding to build a strong, effective team
  
  

• Architect, build, and maintain a scalable data platform for ingestion, anonymization, and enrichment of data
• Deliver high-quality analytical datasets using analytics engineering best practices
• Partner closely with internal stakeholders to translate business needs into technical solutions
• Proactively identify risks and resolve dependencies across teams
• Provide tooling, documentation, and guidance to data consumers across the company
  
  

• 5+ years of experience in data engineering or analytics engineering
• At least 2 years of experience managing and leading a team (performance reviews, 1:1s, mentoring, career planning)
• Strong hands-on experience with SQL and Python
• Deep experience designing and maintaining data models in large-scale data warehouses
• Proven ability to design reliable, testable data pipelines
• Experience building and operating data systems in cloud environments (AWS preferred)
• Familiarity with BI tools such as Tableau or Power BI
• Strong understanding of software engineering best practices, including version control and CI/CD
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences
  
  

• Experience with Apache Airflow and dbt
• Experience using Terraform or other infrastructure-as-code tools
• Knowledge of data privacy and security principles in production systems
  
  

• At the moment, we do not sponsor visas in the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore and the UK, we can only sponsor visas for mid-career or above.
• Please upload your resume as a PDF and do not include any salary or compensation information in it.