Data Engineering Team Lead - Real-Time Pipelines Leadership

Deriv; Cyberjaya; On-site; MYR 120,000 - 150,000; Full time

Job summary

A leading fintech company in Cyberjaya seeks a Data Integration Engineer to lead digital transformation initiatives. The role involves managing data pipelines, ensuring data availability, and overseeing a team focused on integrating data from various sources. The ideal candidate has extensive experience in data engineering, particularly with low-code/no-code tools and cloud technologies. Key responsibilities include optimizing data workflows and collaborating with stakeholders to meet business requirements. Competitive compensation and professional development opportunities are provided.

Benefits

Competitive compensation

Professional development opportunities

Modern office facilities

Team-building activities

Qualifications

• 10 years of experience in data engineering with at least 4 years in a leadership role.
• Hands-on experience with low-code/no-code data integration tools.
• Strong understanding of data governance, security, and compliance practices.

Responsibilities

• Lead and mentor a team of data engineers to optimize data pipelines.
• Create a unified data pipeline integrating multiple sources.
• Ensure data quality and governance across the organization.
• Architect real-time and batch data processing systems.

Skills

Leadership

Data pipeline management

API integration

Data governance

Real-time streaming

Communication skills

Education

Bachelor's degree in computer science, data engineering, or a related field

Tools

Fivetran

RudderStack

Kafka

Pub/Sub

Google Cloud

AWS

BigQuery

PostgreSQL

Airflow

Job description

A leading fintech company in Cyberjaya seeks a Data Integration Engineer to lead digital transformation initiatives. The role involves managing data pipelines, ensuring data availability, and overseeing a team focused on integrating data from various sources. The ideal candidate has extensive experience in data engineering, particularly with low-code/no-code tools and cloud technologies. Key responsibilities include optimizing data workflows and collaborating with stakeholders to meet business requirements. Competitive compensation and professional development opportunities are provided.