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Company Overview
This organization is cognizant of the power of data to drive business decisions and enhance customer experiences. They are building a world-class data engineering team to unlock the full potential of their data assets and are looking for a passionate and experienced Manager of Data Engineering to lead this effort.
Job Title: Manager, Data Engineering
What You Will Be Doing
Lead and own end-to-end data projects—from understanding business needs to designing, implementing, and delivering scalable, automated data solutions that drive impact.
Act as the go-to data expert, providing technical and strategic guidance to business users, solving complex data challenges, and ensuring high-quality analytics solutions.
Collaborate with cross-functional teams, including product owners, architects, IT partners, and business stakeholders, to define data strategies and execute proof-of-concept (PoC) initiatives for new technologies and methodologies.
Manage and engage with third-party vendors and technology partners, ensuring seamless integration, performance optimization, and risk mitigation.
Play a key role in increasing the organization’s data maturity, driving adoption of best practices, governance frameworks, and scalable data architectures that empower self-service analytics.
Requirements
Education & Experience: Bachelor’s degree in Engineering, Computer Science, or equivalent, with 8+ years of experience in Data Analytics, Data Warehousing, or Business Intelligence.
Strong SQL skills with expertise in MPP databases (Snowflake, BigQuery), RDBMS (PostgreSQL, MSSQL), and NoSQL databases (Cosmos DB, Elasticsearch).
Hands-on experience with ETL/ELT pipeline development, using tools like dbt, Airflow, and Kubernetes.
Familiarity with distributed data processing frameworks (Spark, Hadoop, Flink) and real-time messaging systems (Kafka, Azure Event Hub).
Experience with CI/CD pipelines using GitHub Actions and deploying analytics solutions in cloud environments (Azure, Alicloud, GCP).
Familiarity with BI tools such as PowerBI, MicroStrategy, or Tableau.
Ability to translate business needs into scalable data solutions and influence cross-functional teams.
Experience in a multi-vendor, geographically distributed environment with strong vendor management capabilities.
Proven track record of leading data-driven initiatives, improving data maturity, and supporting production systems.
The Ideal Candidate
A strategic thinker who can balance technical excellence with business impact.
A natural problem solver who thrives in fast-paced, complex environments.
A collaborative team player who can influence cross-functional stakeholders.
A lifelong learner who stays ahead of the curve on AI, data trends, and emerging tech.
Experience in luxury retail, e-commerce, or logistics is a plus!
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
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