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Senior Data Engineer

SpringCube

Full time - Senior Engineer

IT Hardware & Devices: Personal Computing

Singapore, All Areas

Published 3 weeks 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 global technology company is seeking a Senior Data Engineer to join its AI and Data Engineering team. The organization drives innovation in gaming and AI, delivering high-performance data solutions across multiple continents. Employees gain exposure to global initiatives and work in a dynamic environment that encourages both personal and professional growth while contributing to cutting-edge AI products.

Summary
The Senior Data Engineer will lead AI Data Engineering initiatives, architecting and managing scalable data pipelines and infrastructures that power AI and machine learning applications. This role requires hands-on technical expertise, collaboration with AI/ML teams, and a focus on building robust, high-performance solutions to support real-time inference, feature engineering, and model training.

Responsibilities

  • Lead AI Data Engineering initiatives, designing and developing efficient, scalable, and reliable data pipelines for AI/ML workloads
  • Design and implement data architectures supporting AI model training, including feature stores, vector databases, and real-time streaming solutions
  • Develop high-performance pipelines processing structured, semi-structured, and unstructured data at scale
  • Implement best practices for data quality, lineage, security, and compliance for AI applications
  • Develop automated data workflows, integrate with DevOps and MLOps frameworks, enabling model reproducibility
  • Explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-generation storage solutions
  • Collaborate with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines

Qualifications

  • 3+ years of experience in data engineering, with exposure to AI/ML-driven data architectures
  • Hands-on experience with Vector/Graph databases such as Neo4j
  • Strong proficiency in Python and SQL
  • Experience in cloud-based infrastructure (AWS, Azure, GCP), containerization (Docker), and orchestration platforms (Kubernetes)
  • Experience with orchestration tools like Airflow or Prefect, distributed computing frameworks such as Spark or Dask, and data transformation tools like DBT
  • Skilled in streaming and batch data processing, data storage optimization (Data Lake, Lakehouse, SQL, NoSQL)
  • Experience with network infrastructure and real-time AI inference pipelines using event-driven architectures
  • Strong analytical, problem-solving, and communication skills
  • Ability to thrive in fast-paced, high-pressure, agile environments and adapt to new technologies
  • Keen interest in staying updated with advancements in data engineering and Gen AI technologies

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

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. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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