Senior Data Engineer

FIRMUS METAL INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global technology firm in Singapore is looking for a Senior Data Engineer to design and implement data architecture. The ideal candidate should have over 7 years of data engineering experience, strong skills in cloud infrastructure, and a proven track record in data platforms. The role involves implementing high-impact use cases to improve customer experiences and collaborating with various teams to connect multiple data sources. The company values inclusivity and sustainability in its work environment.

Benefits

Diverse and inclusive workplace

Opportunities for innovation in AI solutions

Qualifications

• 7+ years of experience in data engineering, preferably with cloud infrastructure.
• Proficient in building and optimizing queries for large-scale datasets.
• Experience with modern orchestration and processing tools.

Responsibilities

• Implement high impact use cases to improve customer experience.
• Define and maintain dimensional modelling standards.
• Architect scalable data platform components.

Skills

Data engineering

Cloud infrastructure operations

Data platform design

SQL

Communication skills

Education

Bachelor's degree in computer science or related field

Tools

Airflow

Spark

Metabase

Tableau

Job description

ROLE

Firmus Technologies is seeking a Senior Data Engineer to join our Engineering and Technology team. You will drive the design and implementation of our data architecture. You will be accountable to achieve our mission to embrace data citizenship across the company as our competitive advantage. This role is ideal for a self-starter with passion for building things from first principles. You naturally break down complex problems into their fundamental truths to uncover novel and elegant solutions—rather than relying on conventional patterns.

KEY RESPONSIBILITIES

• Implement high impact use cases to improve customer experience and operational efficiency (e.g. feed data for hardware failure prediction or Ops Copilot).
• Define and maintain dimensional modelling standards and semantic layer strategy to support analytics, ML, and customer-facing use cases.
• Architect and implement a scalable, company-wide and customer-facing data platform with standardized design patterns and a unified semantic layer.
• Lead the implementation of data platform components including vector and columnar database, streaming processing, data lakehouse, data catalog and BI tools for the consumption of users or AI agents.
• Collaborate with other teams and vendors on securely connecting multiple data sources e.g. telemetry, billings, and incidents.
• Champion data citizenship within the company, support internal and external stakeholders through knowledge transfer and self-service tooling.

SKILLS AND EXPERIENCE

• Bachelor's degree in computer science or a related technical field.
• 7+ years of experience in data engineering, ideally with a focus on cloud infrastructure operations and time series data.
• Proven track record in designing and implementing large scale data platforms that integrate various components with data source from multiple regions.
• Strong proficiency in building, optimizing queries and partitioning large-scale datasets using columnar storage (e.g., Apache Parquet, ClickHouse, Delta Lake) for high-performance analytics.
• Hands-on experience with modern orchestration, processing, and modelling tools (e.g., Airflow, dbt, Spark).
• Solid understanding of embedding generation and integration with LLM-based workflows with vector database (e.g., Milvus) for semantic retrieval and AI agent context.
• Working knowledge on data governance framework, semantic layer strategy, data security and data lineage automation.
• Familiar with BI tools (e.g., Metabase, Tableau) to support a self-service analytics culture company wide.
• Competent in SQL, scripting and programming skills.
• Clear and effective communication in English, both written and spoken.
• Bonus points: working experience in a high-growth startup company and/or highly regulated industry with robust security and data privacy requirements, including SOC 2 Type 2 and ISO 27001.

ABOUT FIRMUS TECHNOLOGIES

Firmus Technologies is a global leader pioneering the solution to AI’s energy challenge, founded in Australia in 201 team of entrepreneurs and engineers passionate about sustainable computing infrastructure.

Firmus builds and operates AI infrastructure across Asia-Pacific, utilising its proprietary AI Factory platform to deliver transformative cost-effective GPU clusters and AI cloud services for developers, enterprise, education and government users.

We are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions.

Join us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering.