Data Engineer

Adecco Personnel Pte Ltd.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A top recruitment agency is seeking an experienced Data Engineer / Data Platform Specialist in Singapore. The successful candidate will design and optimize enterprise-grade data ecosystems using tools like Azure Data Factory and Snowflake. Responsibilities include building data pipelines, administering platforms, and fostering collaboration with teams. This role offers significant exposure to advanced analytics and is backed by a two-year contract with strong potential for continuity. Apply today for a chance to lead innovative data projects.

Benefits

Exposure to cutting-edge research environments

Collaboration with experts and global stakeholders

Contribution to meaningful technological outcomes

Qualifications

• 8-10 years of experience in data engineering or platform development roles.
• Hands-on experience with Snowflake, Azure Data Factory, and metadata catalogues.
• Strong knowledge of data modelling and cloud-warehouse architecture.

Responsibilities

• Design and implement robust data pipelines using Azure Data Factory.
• Administer Snowflake accounts and implement automation pipelines.
• Develop and maintain validation checks and error-handling logic.

Skills

SQL

Python

Azure Data Factory

Snowflake

Data orchestration tools

CI/CD automation

Data modelling

Collaboration

Education

Bachelor's degree in Computer Science, Data Engineering, IT, or related discipline

Tools

Alation

Collibra

Airflow

dbt

Job description

Our client is seeking a highly skilled Data Engineer / Data Platform Specialist to design, build, and optimise enterprise-grade data ecosystems that enable advanced analytics, AI enablement, and business intelligence delivery. This role will drive end-to-end data platform engineering - spanning data architecture, platform administration, automation, data quality governance, and cross‑functional collaboration.

About the Client

Our client is a leading national research organisation known for driving innovation, scientific excellence, and impactful technological advancement. With a strong focus on applied research and industry collaboration, they play a pivotal role in shaping future‑ready solutions across sectors including healthcare, engineering, digital technologies, sustainability, and advanced manufacturing.

The assignment is offered as an initial two‑year contract, with strong potential for continuity and long‑term engagement, based on performance and project pipeline.

Benefits

• Exposure to cutting‑edge research environments.
• Collaboration with highly skilled experts and global stakeholders.
• The opportunity to contribute to meaningful technological outcomes that create societal and economic value.

Key Responsibilities

A. Data Architecture & Engineering

• Design and implement robust data pipelines using Azure Data Factory (ADF) and ELT/ETL best practices.
• Build and optimise data marts to support enterprise dashboards and analytics tools (e.g., Power BI).
• Optimise Snowflake environments for performance, cost, and scalability.
• Partner with IT Shared Services to ensure compliance and enterprise security standards.

B. Platform Administration & Automation

• Administer Snowflake accounts, roles, warehouses, and data‑sharing configurations.
• Integrate metadata and lineage flows into Alation to enhance discoverability and governance.
• Implement automation pipelines and CI/CD practices for ingestion, validation, and deployment.

C. Data Quality & Reliability

• Develop and maintain validation checks, profiling, and error‑handling logic within pipelines.
• Collaborate with Data Analysts and Scientists to ensure datasets meet analytical and AI model requirements.

D. Collaboration & Mentorship

• Partner with Business Analysts and the AI team to operationalise dashboards and machine‑learning outputs.
• Mentor junior engineers in coding, documentation, and data‑architecture best practices.

Qualifications & Experience

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
• At least 8‑10 years of experience in data engineering or platform development roles.
• Hands‑on experience with Snowflake, Azure Data Factory, and metadata catalogues (e.g., Alation, Collibra).
• Proficient in SQL, Python, and data‑orchestration tools (e.g., Airflow, dbt).
• Strong knowledge of data modelling, cloud‑warehouse architecture, and CI/CD automation.
• Familiar with public‑sector data governance and compliance.
• Demonstrated ability to collaborate across analytics, AI, and IT teams.

Next steps

• Drop your resume and contact us to follow‑up, or send your resume to [e-mail] with current, expected salary and official notice period.
• Email Topic: Data Engineer

Tamanna Bilandi
Direct Line: 8463 2870
EA License No: 91C2918
Personnel Registration Number: R2096241