Data Engineering Manager

Randstad Singapore; Singapore; On-site; SGD 156,000 - 167,000; Full time

Job summary

Randstad Singapore is seeking a Data Engineering Manager to lead a core Data Platform team and deliver scalable, real-time data workflows across regions. You will report directly to the Director of Data Analytics and shape architecture for global product and marketing initiatives.

The role demands hands-on leadership, deep cloud data expertise, and strong communication to align technical work with business goals.

Qualifications

• Proven experience leading engineering teams (3–6+ engineers).
• Excellent communication with both senior ICs and business leaders.
• Experience in high-scale, agile environments (internet tech, OTT, fintech, insurtech).

Responsibilities

• Hands-on leader who understands cloud data architecture and distributed systems.
• Builds robust, automated, cost-efficient data platforms.
• Focuses on engineering efficiency, workflow optimization, and talent architecture.
• Bridge low-level design discussions with infrastructure engineers and high-level business insights.
• Collaborates with cross-functional teams to drive data-driven decisions.

Skills

data engineer manager

leadership

stakeholder management

distributed systems

apache kafka

apache airflow

dbt

golang

aws

kubernetes

terraform

python

sql

data architecture

event streaming

Job description

• Manage a high-performing squad of 6 data engineers
• High-visibility ownership with a direct reporting line to the Director
• Scale a global data platform handling massive, real-time behavioral data workflows across international regions.

About the company

We are looking for a sharp, high-efficiency Data Engineering Manager to step in and lead our core Data Platform team. Reporting directly to the Director of Data Analytics, this is a high-visibility role where your engineering choices directly impact global product and marketing strategies.

About the job

• Hands on leader who understands the "why" behind complex cloud data architecture and distributed systems.
• Building robust, automated, and cost-effective platforms.
• Focuses on engineering efficiency, workflow optimization, and talent architecture
• Understand the foundational logic of code, audit architecture, and comfortably navigate a data ecosystem that closely interfaces with modern backend environments (such as our recently completed Golang backend migration).
• Seamlessly pivot from whiteboarding low-level system designs with infrastructure engineers to delivering crisp, high-impact insights to business leaders.

Skills and experience required

Proven experience managing engineering teams (ideally 3 to 6+ engineers). You know how to motivate senior individual contributors, scale engineering velocity, and manage technical team dynamics.

Exceptional, concise communication skills. Able to handle technical discussion with infrastructure engineers to discuss low-level design, and then pivot immediately to deliver a crisp, high-impact summary to business stakeholders.

High-scale, agile environments like internet tech, OTT streaming, fintech, or insurtech.

Whats an offer

This is a permanent Data Engineering Manager role offering a competitive monthly salary of $ 14,000- $ 15,000, along with company perks and benefits.

Desired Skills and Experience

• data engineer manager
• leadership
• food tech
• ott streaming
• technology
• python
• sql
• data pipelines
• aws
• data infrastructure
• data platform
• kubernetes
• terraform
• Data Architecture
• Distributed Systems
• Stakeholder Management
• Software Engineer
• Apache Kafka (or Event Streaming)
• Apache Airflow
• dbt (Data Build Tool)
• FinOps (Cloud Cost Optimization)
• Golang
• B2C Consumer Tech
• High-Scale Platforms
• Digital Media
• Fintech
• Insurtech