Recruiting on behalf of an established client, Eames Consulting Group seeks a Data Engineering Manager in Singapore to lead and mentor a data engineering team, architect a cloud-based data lakehouse, drive zero-disruption legacy migrations, and embed governance (GDPR) into pipelines using tools like Airflow and dbt.
We are partnered with an established firm to look for a Data Engineering Manager.
Key Responsibilities
• Provide leadership, mentoring, and technical direction to a high-calibre data engineering team while fostering engineering best practices, CI/CD, and system observability.
• Lead the architectural design and scaling of a modern cloud-based data lakehouse and transformation framework processing high-volume consumer behavioural events and revenue streams.
• Direct system migrations from legacy data setups to next-generation distributed storage and compute frameworks with zero business disruption.
• Embed automated data governance, cataloguing, lineage tracking, and regulatory compliance protocols (GDPR/privacy frameworks) directly into data pipelines.
Requirements
• Bachelor's or Master's degree in Computer Science or a relevant STEM discipline.
• At least 5 years of engineering people management or technical team leadership experience.
• At least 10 years of overall technical background building scalable distributed data systems and robust software solutions.
• Deep hands-on knowledge of cloud data engineering, lakehouse storage layers, orchestration tools (e.g., Airflow), and data transformation engines (e.g., dbt).
• Strong track record in establishing automated testing, infrastructure-as-code, streaming/batch ingestion, and governance frameworks.
• Solid commercial understanding of cloud cost optimization (FinOps) and translating technical architecture into product/business impact.