Data Engineering Manager - Big Data

About this role

Location: Singapore

Experience: 10+ years in Data Engineering, including hands-on Big Data expertise and team management

Domain: Banking / Financial Services preferred

Key Responsibilities

• Lead and manage data engineering teams to design, develop, and deliver scalable enterprise data platforms and pipelines.
• Maintain strong hands-on expertise in Big Data technologies such as Hadoop, Spark, PySpark, Hive, Kafka, and distributed data processing .
• Design and implement robust ETL/ELT pipelines, data ingestion frameworks, data transformation, and data integration solutions.
• Drive data engineering architecture, technical design, performance tuning, and optimization of large-scale data processing workloads.
• Manage data lake, data warehouse, and modern cloud-based data platform implementations.
• Work with cloud platforms such as AWS, Azure, or GCP and technologies such as Databricks, where applicable.
• Lead data quality, data governance, metadata management, security, and data reliability initiatives.
• Collaborate with solution architects, data architects, business stakeholders, and project managers to translate business requirements into technical solutions.
• Manage project delivery, resource allocation, technical reviews, risk mitigation, and delivery timelines.
• Mentor engineers, establish engineering best practices, and ensure high-quality, maintainable, and production-ready code.
• Required Skills and Experience
• 10+ years of experience in data engineering, Big Data development, and enterprise data platforms.
• Proven hands-on experience in Big Data technologies , with the ability to guide teams technically and troubleshoot complex engineering challenges.
• Strong proficiency in Python, PySpark, SQL, and distributed data processing frameworks.
• Experience building and managing complex data pipelines, ETL/ELT workflows, and large-scale data processing solutions.
• Demonstrated experience leading data engineering teams, managing deliverables, and driving technical execution.
• Strong understanding of data modelling, data architecture, performance optimization, and data platform scalability.
• Experience with cloud-based data engineering and modern data platforms is highly desirable.
• Excellent stakeholder management, communication, problem-solving, and leadership skills.
• Preferred: Experience in banking, financial services, regulatory reporting, risk analytics, or other data-intensive enterprise environments.

Ideal Candidate: A technically strong Data Engineering Manager who combines practical Big Data development experience with proven people leadership, solution delivery, and the ability to guide engineers through complex data engineering challenges.