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Senior Data Engineer Job in Singapore 2026 with Employment Pass

Senior Data Engineer Job in Singapore 2026 with Employment Pass

Senior Data Engineer Job in Singapore 2026 with Employment Pass

A Senior Data Engineer (Databricks) opportunity is available in Singapore with Ultra Tendency, a rapidly growing technology consultancy specializing in data engineering, analytics, and artificial intelligence solutions. This role offers competitive compensation aligned with Singapore’s technology sector and provides support for international candidates through the Singapore Employment Pass (EP) process.

The position is designed for experienced data engineers who want to work on large-scale global data projects while collaborating with international teams across Europe, Asia, and the Americas. The role focuses on designing modern data platforms using the Databricks Lakehouse architecture, enabling advanced analytics, machine learning, and enterprise reporting systems for multinational clients.

Candidates seeking an international career in one of Asia’s leading technology hubs will find this role particularly appealing due to its combination of advanced technology projects, international collaboration, and long-term professional growth opportunities.

About Role

The Senior Data Engineer will play a key role in designing and building scalable Lakehouse data platforms that support data-driven decision-making for global organizations. The role involves developing robust batch and real-time data pipelines that power analytics platforms, machine learning workflows, and business intelligence systems.

Working within a distributed engineering team, the engineer will collaborate with data scientists, architects, and business stakeholders to translate complex business requirements into reliable data systems. The position requires deep expertise in distributed computing, cloud-native data engineering, and Databricks platform optimization.

In addition to hands-on development, the role includes mentoring junior engineers and contributing to the team’s data engineering best practices.

About Hiring Firm

Ultra Tendency is a global technology consultancy specializing in data engineering, analytics platforms, artificial intelligence, and cloud-based data architectures. The company supports international enterprises in building scalable data ecosystems using modern technologies such as Databricks, Apache Spark, and cloud infrastructure platforms. With teams located across Europe, Asia, and the Americas, Ultra Tendency provides a collaborative global work environment focused on innovation and knowledge sharing.

Responsibilities

  • Design and implement scalable data pipelines using the Databricks Lakehouse platform
  • Develop batch and streaming data workflows supporting analytics and machine learning projects
  • Collaborate with data scientists, architects, and business stakeholders to design production-grade data solutions
  • Optimize Databricks clusters and workloads for performance and cost efficiency
  • Implement tools such as Photon, Auto Loader, and Databricks Job Workflows for pipeline optimization
  • Establish best practices for data governance, quality control, and security within data platforms
  • Build ML-ready data environments and large-scale analytics pipelines
  • Develop data solutions supporting real-time analytics and reporting systems
  • Mentor junior engineers and contribute to the team’s technical knowledge base
  • Participate in architecture discussions and contribute to the continuous improvement of data engineering standards

Requirements

  • Strong hands-on experience with Databricks Lakehouse Platform
  • Expertise in Apache Spark (PySpark or Scala) and Delta Lake
  • Experience working with Databricks on Azure, AWS, or Google Cloud Platform
  • Proficiency in Python or Scala programming
  • Experience with CI/CD pipelines such as GitHub Actions or Azure DevOps
  • Solid understanding of distributed data systems and cloud-native architectures
  • Experience with orchestration tools such as Databricks Workflows or Apache Airflow
  • Familiarity with infrastructure-as-code tools such as Terraform
  • Strong communication skills and ability to work in international teams
  • Eligibility for the Singapore Employment Pass visa

Click Here to Apply

Conclusion

This Senior Data Engineer position provides an excellent opportunity to work at the forefront of modern data platform development within a global consulting environment. With exposure to international projects, continuous professional development opportunities, and support for the Singapore Employment Pass, the role offers a strong pathway for experienced data engineers looking to advance their careers in advanced data engineering and cloud analytics.

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