Senior Data Engineer - Part-Time

We’re Hiring: Senior Data Engineer

Join a forward-thinking team driving data engineering excellence across large-scale digital initiatives. If you are passionate about building scalable data platforms, enabling AI-ready architectures, and shaping modern data ecosystems, this role offers the opportunity to work on impactful projects in a dynamic and collaborative environment.

Job Highlights

• Work Location: PLQ2 (Level 12, 408533) / Punggol Digital District /Hybrid
• Employment Type: 6-Month Contract
• Salary: Up to SGD 8,860

🧩 Key Responsibilities

Data Engineering Strategy & Architecture

• Lead and implement data engineering strategies and architecture blueprints aligned with business needs.
• Evaluate and recommend data platforms and architecture solutions to support evolving requirements, including AI-driven use cases.
• Translate business data requirements into scalable, technical solutions.

Data Pipeline Development & Infrastructure

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Design and implement secure, cloud-based data infrastructure and access mechanisms.
• Develop reusable data models and maintain metadata, lineage, and catalogues using tools such as ER/Studio.

Platform Optimization & Operations

• Monitor and optimize ETL systems and databases to ensure high performance, reliability, and scalability.
• Implement batch and real-time data pipelines using modern data technologies.
• Apply infrastructure-as-code and CI/CD practices to data engineering workflows.

Governance, Collaboration & Best Practices

• Collaborate with data stewards to enforce data governance, quality, and security policies.
• Guide stakeholders through greenfield and brownfield implementations from discovery to solution delivery.
• Develop standardized frameworks for assessments and solutioning aligned with best practices.
• Mentor team members and champion engineering excellence across projects.

✅ Who We’re Looking For

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• 5–10 years of experience in data engineering, cloud infrastructure, or platform engineering.

🔧 Required Skills

• Strong foundation in data system design, data structures, algorithms, and data architecture modelling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Proficiency in Python and SQL.
• Experience with distributed data technologies (e.g., Spark, Hadoop).
• Familiarity with orchestration tools (Airflow, Azure Data Factory).
• Experience with DevOps tools (Docker, Git, Terraform) and CI/CD pipelines.
• Exposure to Databricks, Snowflake, or Denodo.
• Strong understanding of data governance, security, and privacy, especially within regulated environments.
• Excellent communication and stakeholder management skills.
• Proven ability to mentor and develop junior engineers or technical teams.

📩 How to Apply

Apply via MyCareersFuture. Only shortlisted candidates will be contacted.

🔒 Data Privacy Notice

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Internal Ref: ID – JO 28241

EA License: 05C3053