
Data Engineering Manager
- Bayan Lepas, Pulau Pinang
- Tetap
- Sepenuh masa
- Lead, mentor, and manage a team of 10 data engineers, ensuring high-quality deliverables and adherence to engineering best practices.
- Partner with stakeholders from multiple APAC regions to understand business priorities, gather requirements, and translate them into a well-defined product backlog.
- Prioritize and manage the backlog to align with strategic business objectives and technical feasibility.
- Oversee the design, development, and maintenance of scalable, high-performance data pipelines and data models.
- Ensure data quality, security, and governance standards are met across all projects.
- Facilitate effective communication between the data engineering team and cross-functional teams, including data scientists, analysts, and product managers.
- Monitor delivery timelines, proactively identify risks, and implement mitigation plans.
- Drive continuous improvement in processes, tools, and team capabilities.
- 15+ years of experience in data engineering, with at least 3 years in a people management role.
- Proven track record in managing distributed teams and delivering complex data engineering projects.
- Strong experience with cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data engineering tools.
- Solid understanding of data modeling (dimensional and relational), ETL/ELT design, and data warehouse architectures.
- Strong stakeholder management and communication skills, with experience engaging teams across multiple geographies.
- Ability to prioritize work, manage competing demands, and deliver results under tight timelines.
- Familiarity with Agile methodologies and backlog management tools (e.g., Jira, Azure DevOps).
- Experience with Azure Data Factory, Azure Synapse Analytics, Databricks, and ADLS Gen2.
- Knowledge of data governance tools and frameworks.
- Exposure to APAC market dynamics and cross-cultural collaboration.