Data Engineering Director

2 weeks ago

Singapore beBeeDataEngineering Full time $150,000 - $200,000
Data Engineering Director

Our client, a leading buy-side investment firm, is embarking on a greenfield data engineering initiative to build a best-in-class data platform that underpins investment decision-making. This role involves taking full ownership of the architecture, development, and scaling of the platform.

About the Role

This Data Engineering Director position begins as an individual contributor with full ownership of the build-out, with the mandate to grow and lead a team as the function expands. Key responsibilities include:

  • Taking full ownership of a greenfield data platform, from architecture design to implementation.
  • Building scalable, secure, and cloud-native data pipelines and infrastructure to support investment and trading strategies.
  • Partnering with portfolio managers, quants, and data scientists to capture requirements and deliver high-value data solutions.
  • Designing and implementing modern ETL/ELT workflows for diverse datasets (structured, semi-structured, and unstructured).
  • Defining best practices for data engineering, including CI/CD, testing, monitoring, and governance.
  • Evaluating and adopting cutting-edge technologies to ensure the platform's scalability and resilience.
  • Mentoring and leading a team of data engineers as the platform matures.
Requirements

To be successful in this Data Engineering Director role, you will need:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 8+ years of experience in data engineering, with proven experience leading or architecting large-scale data solutions.
  • Strong programming expertise in Python (e.g., Pandas, PySpark) for production-grade pipelines.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and related data services (e.g., S3, Redshift, BigQuery, Databricks, EMR).
  • Strong SQL skills and familiarity with both relational and NoSQL databases.
  • Experience with distributed systems and streaming technologies (e.g., Spark, Kafka).
  • Familiarity with DevOps and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Excellent stakeholder management skills with the ability to partner with front-office teams.

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