Senior Data Engineer

FedEx; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A global logistics company in Singapore is hiring a Data Engineer to design and maintain data systems that support analytics and business intelligence. The role includes developing ETL processes, collaborating with teams to define data requirements, and optimizing data infrastructure. Candidates should have experience in Python, SQL, and cloud services, along with the ability to mentor junior engineers. This position offers strong growth opportunities within a diverse environment.

Qualifications

• Experience developing and maintaining ETL processes.
• Strong knowledge of scalable data systems and analytics.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Design, develop, and maintain ETL processes for data integration.
• Enhance data infrastructure for performance and reliability.
• Provide mentorship and technical guidance to junior engineers.

Skills

Python Programming

Data Warehousing

SQL

Concurrency

Cloud

CI/CD

Version Control

Job description

Designs, develops, and maintains scalable data pipelines and systems to support analytics, machine learning, and business intelligence within the logistics domain. Collaborates with cross‑functional teams to gather data requirements and deliver reliable, high‑quality technical solutions. Responsibilities include optimizing data infrastructure, ensuring data integrity, and proactively monitoring pipelines to resolve issues efficiently. Also provides mentorship to junior engineers and provides technical excellence across all phases of project development, from proof of concept to full‑scale production.

Roles & Responsibilities

• Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources.
• Build scalable data systems that support analytics, machine learning, and business intelligence use cases within the logistics domain, in close collaboration with solution architects.
• Work closely with data analysts, product owners, architects, and other stakeholders to understand data requirements and deliver effective technical solutions.
• Continuously enhance existing data infrastructure to improve performance, scalability, and reliability.
• Implement validation and monitoring processes to ensure data accuracy, consistency, and integrity across systems.
• Proactively monitor data pipelines and address issues promptly to minimize disruptions and ensure smooth operations.
• Support the growth of junior data engineers through code reviews, debugging assistance, and career development guidance.
• Contribute to projects across all stages—from proof of concept (POC) and minimum viable product (MVP) to full‑scale production—within teams ranging from small groups to large cross‑functional units.

Experience With The Following Preferred

• Python Programming & Software Engineering
• Data Warehousing & Data Modeling
• SQL and relational databases
• Concurrency and Multithreading
• Cloud and Azure
• CI/CD
• Version Control

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe.