Data Engineering Manager - Big Data

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.

Work arrangement
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