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Open nowPosted today

Senior Data Engineer

MyCareersFuture93,320 open roles

Pay
SGD 8,000 – SGD 10,000 a month
Where
East, Singapore
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Your applicationOpen nowSenior Data EngineerMyCareersFuture · East, Singapore

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The clock on this job

Early applications get read.

9.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 7 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.1%7 days
  4. 15.5%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 7 days open

The posting

Job Summary

  • We are seeking a Senior Data Engineer to join our Data & Analytics team. The ideal candidate will design, build, and maintain robust on-premise data pipelines, architect flexible lakehouse solutions, and lead data infrastructure initiatives to enable data-driven decision-making across the organization.

Mandatory Skill-set

  • Bachelor's degree in Computer Science, IT, Engineering, or related field.
  • Must have 5 years of hands-on experience in data engineering and data pipeline development;
  • Hands on experience in SQL, with in-depth expertise in Microsoft SQL Server, including query optimization, indexing strategies, performance tuning, and troubleshooting;
  • Hands-on experience with at least one NoSQL database, such as MongoDB or Apache Cassandra;
  • Practical experience in distributed data processing using Apache Spark and PySpark, including performance optimization and large-scale data processing;
  • Strong Python programming skills for data processing, automation, and developing scalable, reliable, production-grade data pipelines;
  • Expertise in designing, deploying, and managing containerized data pipelines using Kubernetes in on-premises environments;
  • Strong understanding of relational and non-relational data modeling concepts, including schema design and optimization;
  • Hands-on experience with Apache Airflow or similar orchestration tools for scheduling, monitoring, and managing batch and real-time data pipelines;
  • Knowledge of data security and governance practices, including role-based access control (RBAC), data masking, and compliance with relevant regulatory and organizational standards;

Desired Skill-set

Good to have experience with on-premise data virtualization or logical data warehouse concepts.

Good to have real-time streaming technologies (Kafka, Apache Flink);

Responsibilities

  • Design and develop autonomous, production-grade ETL/ELT data pipelines using Python and PySpark that ingest, transform, and deliver high-quality data while maintaining integrity and performance standards.
  • Implement and manage flexible lakehouse architecture across raw, curated, and consumption layers, including data partitioning, cataloging, and metadata management;
  • Deploy and manage data pipelines using Kubernetes and Docker to ensure scalability, reliability, and efficient resource utilization in on-premise environments;
  • Leverage strong SQL Server expertise to design optimal data models, write complex queries, and perform query optimization across the data platform;
  • Establish and maintain robust CI/CD practices for data pipeline deployment, including automated testing, version control, and continuous monitoring;
  • Enforce security, governance, and role-based access controls across all data layers while ensuring compliance and auditability;
  • Mentor junior engineers, conduct code reviews, and establish best practices across the team;
  • Collaborate with Data Scientists, Business Analysts, and stakeholders to deliver datasets aligned with operational and analytical needs;
  • Provide L3 support and expert consultation for complex data challenges; evaluate and recommend new tools and practices to improve agility and performance.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s

website(https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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