Engineering Team Lead

Engineering Team Lead

Job Type : Permanent

Location : Singapore, Hybrid Work Model

Salary : SGD 168,000 - 180,000 per annum + Insurance Benefits

Job Summary :

We are seeking an experienced and hands-on Engineering Team Lead to lead a high-performing team delivering scalable, data-intensive applications. This role requires a strong balance of technical leadership, people management, and strategic thinking , with the ability to stay close to the code while driving engineering excellence.

You will play a key role in shaping architecture, improving engineering practices, and ensuring the successful delivery of high-quality software in a fast-paced, globally distributed environment. Collaboration across EU and US time zones will be required.

Job Responsibilities :

Technical Leadership : Define architecture and platform strategy, drive best practices in scalability, performance, and reliability, and contribute hands-on to development and code reviews.

Data & Platform Engineering : Design and optimize data models, pipelines, and analytical workloads across large-scale systems, ensuring high performance and maintainability.

Stakeholder Management : Translate business needs into technical solutions, communicate trade-offs clearly, and coordinate delivery across global teams (EU & US time zones).

People Leadership : Lead, mentor, and grow a high-performing engineering team, driving hiring, performance management, and a culture of ownership and continuous improvement.

Required Technical Skills & Experience :

Core Engineering :

Strong experience with TypeScript across Back-End and Front-End development.

Expertise in building and maintaining RESTful and/or GraphQL APIs.

Data Engineering & Databases :

Hands-on experience with analytical/columnar databases (e.g., ClickHouse, BigQuery, Redshift, DuckDB).

Strong proficiency in PostgreSQL and MS SQL Server, including performance tuning and query optimization.

Experience designing and optimizing large-scale data processing systems.

DevOps & Infrastructure :

Strong experience with Kubernetes (deployment, scaling, troubleshooting in production).

Hands-on experience with Helm and containerized application deployment.

Familiarity with cloud platforms (preferably Azure, but AWS/GCP also relevant).

Experience building and maintaining CI/CD pipelines using GitHub Actions.

Preferred :

Experience working with OMOP CDM (Observational Medical Outcomes Partnership Common Data Model), including data modelling, ETL pipelines, and schema design.

Exposure to healthcare data standards (e.g., HL7 FHIR, ICD, SNOMED, LOINC) is a plus.

Experience working with large-scale unstructured data or analytics platforms.

Familiarity with modern Front-End frameworks and analytics-driven UI components.

Background in data-intensive platforms, research, or real-world data applications.

Contributions to open-source projects is a plus.