Data Engineering Manager | Unison Group | Singapore

Unison Group; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Unison Group in Singapore is seeking an experienced Data Engineering Manager with 10+ years of big data engineering and leadership experience to drive enterprise-scale data platform initiatives.

You will lead data engineering teams, design scalable ETL/ELT pipelines, and partner with cross-functional squads to ensure data quality and reliability across multi-cloud environments. On-site presence in Singapore is required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, IT, or related technical field.
• Minimum of 10+ years progressive experience in data engineering, big data development, and technical leadership.
• Strong hands-on expertise in Spark, PySpark, Python, advanced SQL, and distributed data processing.
• Practical knowledge of Hadoop, Hive, Kafka, and big data storage architectures.
• Experience leading data engineering teams, managing delivery, mentoring staff.
• Data modelling, enterprise data architecture, and scalable platform design.
• Excellent written and verbal English communication; able to present to executives.
• Mandatory on-site work in Singapore.

Responsibilities

• Lead data engineering teams with technical mentorship and delivery oversight.
• Maintain hands-on expertise in big data technologies and distributed computing.
• Architect, develop, optimize, and maintain scalable ETL/ELT pipelines and data processing frameworks.
• Build and support distributed data systems using Hadoop, Spark, PySpark, Hive, Kafka, Python and SQL.
• Drive enterprise data architecture, data quality governance, modelling, and performance optimization.
• Manage delivery timelines, stakeholder engagement, and cross-functional collaboration.
• Administer multi-cloud data platforms across AWS, Azure, GCP, and Databricks.
• Document data schemas, pipeline topologies, and runbooks.

Skills

Big data engineering

Distributed computing

Team leadership

Spark

PySpark

Python

SQL

Hadoop

Hive

Kafka

Data modelling

English communication

Education

Bachelor’s or Master’s in CS/IT

Tools

Spark

PySpark

Python

SQL

Hadoop

Hive

Kafka

Databricks

Airflow

Docker/Kubernetes

Job description

Position Summary

Unison Group Singapore is actively seeking an experienced, high-caliber, and technical Data Engineering Manager with 10+ years of progressive professional experience in big data engineering, distributed architectures, and technical team leadership to join our client engineering team on a full-time permanent on-site basis in Singapore. In this critical data leadership and architecture role, you will be responsible for leading data engineering teams, driving enterprise-scale data engineering initiatives, and designing the development and delivery of scalable data platforms. You will leverage your deep specialist expertise in Hadoop, Spark, PySpark, Hive, Kafka, Python, SQL, and multi-cloud platforms to deliver uncompromised data reliability, high throughput, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital consulting enterprise.

Detailed Job Description

As a Data Engineering Manager supporting Unison Group in Singapore, you will take full operational, tactical, and technical ownership of enterprise data architecture, big data platform development, ETL/ELT pipeline optimization, and cross-functional engineering collaboration across mission-critical analytics platforms. Your day-to-day responsibilities include leading data engineering teams and driving end-to-end project delivery across distributed analytics frameworks, designing, developing, testing, and optimizing scalable ETL/ELT pipelines and data processing frameworks, architecting robust data solutions utilizing Hadoop, Spark, PySpark, Hive, Kafka, Python, and SQL, driving enterprise data architecture, data quality governance, data modelling, and performance optimization, managing technical delivery, stakeholder engagement, and team professional development, provisioning, administering, and securing cloud data storage and compute resources across AWS, Azure, GCP, and Databricks, collaborating closely with cross-functional software engineering, product, and executive stakeholder squads in Agile sprint cycles, preparing comprehensive technical documentation of data models, pipeline topologies, and operational runbooks, and managing application requirements by ensuring strict compliance with the 10+ years experience requirement and Singapore on-site presence. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex distributed data processing and performance bottlenecks under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 10+ years experience requirement and Singapore on-site presence.

Key Responsibilities

• Lead enterprise-grade data engineering teams, providing technical mentorship, guidance, and end-to-end project delivery oversight.
• Maintain strong hands-on expertise in big data technologies, distributed computing, and data processing frameworks.
• Architect, design, develop, optimize, and maintain scalable ETL/ELT data pipelines and ingestion workflows.
• Build and support distributed data systems utilizing Hadoop, Apache Spark, PySpark, Hive, Apache Kafka, Python, and SQL.
• Drive comprehensive data architecture, data quality governance, data modelling, and database performance optimization.
• Manage technical delivery timelines, stakeholder engagement, and cross-functional collaboration across business units.
• Administer, secure, and optimize multi-cloud data platforms and analytics environments across AWS, Azure, GCP, and Databricks.
• Maintain accurate, comprehensive technical documentation of data schemas, pipeline architectures, and operational runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Technology, or a related technical discipline.
• Minimum of 10+ years of progressive professional experience in data engineering, big data development, and technical leadership.
• Strong, demonstrable hands-on professional expertise in Apache Spark, PySpark, Python, advanced SQL, and distributed data processing.
• Comprehensive working knowledge and practical proficiency in Hadoop, Hive, Kafka, and big data storage architectures.
• Deep practical experience in leading data engineering teams, managing project delivery, and mentoring technical personnel.
• Solid practical experience in data modelling, enterprise data architecture, and scalable data platform design.
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure conditions.
• Excellent written and verbal English communication skills with strong executive stakeholder presentation and leadership abilities.
• Mandatory legal work eligibility and physical availability for full-time on-site professional operations in Singapore.

Nice-to-Have Skills

• Prior professional working experience in banking, financial services, regulatory reporting, or risk analytics domains.
• Professional certifications such as Databricks Certified Data Engineer, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer.
• Hands-on familiarity with modern data stack orchestration tools (Apache Airflow, dbt) and containerization (Docker, Kubernetes).
• Experience integrating enterprise data warehouses (Snowflake, BigQuery, Redshift) into centralized analytics platforms.
• Exposure to agile software development methodologies and enterprise IT service management frameworks (Jira, ServiceNow).

Application Information

• Salary/Rate: Market Competitive / Enterprise Data Leadership Package
• Deadline: Open until filled (Urgent Singapore Data Engineering Manager Opening)
• Notice Period: Candidates who can join within 30 days preferred
• Contract Duration: Permanent / Full-Time On-Site Engagement (Singapore)
• Company Website: https://www.unisongroup.com