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Data Engineering Manager

SpringCube

Full time - Senior Associate/ Asst Manager

IT Networking & Security

Singapore ( Onsite )

Published 1 week ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading provider of virtual private network (VPN) services, this company is renowned for its commitment to user privacy and security.

Data Engineering Manager

As a Data Engineering Manager, you will play a pivotal role in shaping our data platform, empowering teams across the organization to make data-driven decisions. You will lead a team of skilled engineers, architect robust data pipelines, and collaborate with stakeholders to deliver high-quality data solutions.

Key Responsibilities:

  • Team Leadership:
    • Mentor and coach team members to foster professional growth and development.
    • Conduct performance reviews, 1:1 meetings, and create career development plans.
    • Drive recruitment and onboarding efforts to attract top talent.
  • Data Platform Architecture:
    • Design, build, and maintain a scalable and reliable data platform.
    • Implement robust data ingestion, transformation, and storage processes.
    • Ensure data quality, consistency, and security.
  • Analytics Engineering:
    • Develop and maintain data models to support business intelligence and analytics.
    • Collaborate with data analysts and scientists to understand their needs.
    • Deliver timely and accurate data insights.
  • Stakeholder Management:
    • Liaise with internal customers to gather requirements and prioritize projects.
    • Communicate effectively with technical and non-technical stakeholders.
    • Proactively identify and mitigate risks.

Required Skills and Experience:

  • 5+ years of experience in data engineering or analytics engineering.
  • 2+ years of experience leading and managing a team.
  • Strong proficiency in SQL, Python, and business intelligence tools (Tableau, Power BI).
  • Hands-on experience with cloud platforms (AWS, GCP, Azure).
  • Expertise in data pipeline development and orchestration (Airflow, dbt).
  • Deep understanding of data privacy and security.
  • Excellent communication and problem-solving skills.

Nice to Have:

  • Experience with infrastructure-as-code tools (Terraform).
  • Knowledge of machine learning and data science.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.