Junior Data Engineer

AIR ENERGI GROUP SINGAPORE PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leader in Shipping and Logistics company is expanding and looking for a qualified Junior Data Engineer in Singapore. You'll be responsible for building ETL/ELT pipelines, optimizing cloud data infrastructure, and collaborating with data science teams. If you possess a degree in Computer Science/Data Engineering and have experience with Python and SQL, we encourage you to apply. The company values equity, diversity, and inclusion.

Qualifications

• 1–2 years of experience in data engineering or similar roles is preferred.
• Hands-on experience with cloud data warehouses is necessary.
• Familiarity with orchestration tools like Airflow is required.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Optimize cloud-based data infrastructure for performance.
• Collaborate with data science teams for feature engineering.

Skills

Python

SQL

Data governance

Data modeling

ETL/ELT frameworks

Education

Bachelor’s degree in Computer Science, Data Engineering, or a related discipline

Tools

BigQuery

Redshift

Snowflake

Airflow

Luigi

Job description

A leader in Shipping and Logistics company is currently expanding and looking for highly qualified candidates for the Junior Data Engineer position based in Singapore.

Job Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest data from diverse sources including internal systems, APIs, and web platforms
• Ensure the availability of high-quality, reliable data to support analytics and machine learning initiatives
• Optimize cloud-based data infrastructure for performance and cost-efficiency
• Implement robust data validation, quality checks, and monitoring systems
• Enhance data warehouse performance through techniques like partitioning and clustering
• Collaborate with data science teams to productionize preprocessing logic and support feature engineering
• Automate workflows using orchestration tools such as Airflow or Luigi, with clear documentation
• Contribute to the development of data governance and quality assurance frameworks

Requirements

• Bachelor’s degree or higher in Computer Science, Data Engineering, or a related discipline
• 1–2 years of experience in data engineering or similar roles
• Proficient in Python and SQL for large-scale data processing
• Hands-on experience with cloud data warehouses (e.g., BigQuery, Redshift, Snowflake)
• Familiarity with ETL/ELT frameworks and orchestration tools (Airflow, Luigi, Cloud Composer)
• Understanding of data governance, validation frameworks, and quality assurance practices
• Strong foundation in data structures, algorithms, and distributed computing principles
• Solid grasp of data modeling and warehousing optimization techniques

Airswift cares deeply about equity, diversity and inclusion, and we actively seek talent from diverse and underrepresented groups. Please do send your CV to us if you meet most, but maybe not all of the requirements.