Senior Data Engineer

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

Job summary

An innovative technology firm in Singapore is seeking a Senior Data Engineer to lead the design and implementation of data architecture. This role requires over 7 years of experience in data engineering and a strong background in cloud infrastructure. The ideal candidate will drive impactful projects to enhance customer experience and operational efficiency while championing data citizenship within the company.

Qualifications

• 7+ years of experience in data engineering, ideally focusing on cloud infrastructure operations.
• Proven track record designing large scale data platforms with multiple component integration.
• Hands-on experience with orchestration, processing, and modelling tools.

Responsibilities

• Drive the design and implementation of data architecture.
• Implement high impact use cases to improve customer experience.
• Collaborate with teams on securely connecting multiple data sources.

Skills

Data engineering skills

Cloud infrastructure knowledge

Communication skills

SQL proficiency

Education

Bachelor's degree in computer science or a related technical field

Tools

Apache Parquet

ClickHouse

Delta Lake

Airflow

dbt

Spark

Metabase

Tableau

Job description

ROLES AND RESPONSIBILITIES

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.

At Firmus, 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. Apply now to be part of shaping the future of sustainable AI infrastructure.