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Req ID: RC769874

Senior Data Engineer - Air Network Planning

Professional
  • Company: Federal Express Corporation AMEA
  • Category: Professional
  • Employment Type: Full Time
  • Worker Sub-Type: Regular
  • Scheduled Weekly Hours: 44
  • Posting End Date: 2026-03-16T00:00:00+00:00
  • Remote: No
  • Location:
    • 31 Kaki Bukit Road 3, Singapore, 417818, Singapore
    • 3 Temasek Avenue, Singapore, 039190, Singapore
    • 100 Cyberport Road, Hong Kong, Hong Kong Island, Hong Kong

Description

Business Intelligence & Analytics Systems and Solutions; Implement Business Intelligence & Analytics systems and solutions; full stack and functional design of data warehouse; self-service data exploration; reporting and analysis applications; data modeling; data security and federation strategies; Business Intelligence production processes and best practices; user training and support; vendor management; project management; business case development

Purpose of Position

This role is responsible for designing, building, and maintaining scalable, reliable, and high‑quality data pipelines to support Air Network Planning analytics, digital products, and decision‑support use cases.

You will focus on end‑to‑end ETL/ELT development, data integration, and data platform enablement—ensuring that analytical and operational teams have timely, trusted, and well‑modelled data. The role works closely with Data Analysts, Data Scientists, and business stakeholders to translate planning and engineering needs into enterprise‑grade data solutions.

Areas of Responsibility

1 – Data Engineering & ETL Development

  • Design, build, and maintain robust ETL/ELT pipelines ingesting data from multiple internal and external sources
  • Develop batch and, where applicable, streaming data pipelines using Azure and Databricks
  • Implement data transformations, validations, and enrichment logic to produce analytics‑ready datasets
  • Ensure data quality, lineage, observability, and reliability of production pipelines
  • Optimize pipeline performance, scalability, and cost efficiency

2 – Data Platform & Architecture Support

  • Contribute to the design and evolution of the Air Network data platform on Azure
  • Work with Databricks (Spark, Delta Lake) to implement scalable data processing and storage patterns
  • Collaborate with enterprise platform and security teams to ensure compliance with data governance, access control, and security standards
  • Support migration of manual or semi‑automated processes into fully automated, production‑grade pipelines

3 – Analytics & Business Enablement

  • Partner with Data Analysts and Data Scientists to enable downstream analytics, dashboards, and advanced models
  • Translate business and planning requirements into well‑structured data models and pipelines
  • Support strategic Air Network initiatives by delivering reliable datasets for planning, performance evaluation, and optimization use cases
  • Document data pipelines, schemas, and integration logic so solutions are reusable and maintainable

To Be Successful in This Role, You Will Need

  • Bachelor’s degree or equivalent in Computer Science, Data Engineering, Engineering, Information Systems, or a related discipline
  • 4+ years of hands‑on data engineering experience
  • Strong experience building production ETL pipelines and data workflows

Technical Skills (Required / Strongly Preferred)

  • Azure data ecosystem (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse or equivalent)
  • Databricks / Apache Spark, including Delta Lake concepts
  • Strong SQL skills and experience with data modeling (star/snowflake, analytics‑optimized schemas)
  • Programming experience in Python (or equivalent) for data engineering workflows
  • Experience with orchestration, scheduling, and monitoring of data pipelines
  • Understanding of data quality checks, error handling, logging, and alerting

Technical Skills (Nice to Have)

  • Experience supporting BI tools (e.g., Power BI) through well‑designed data layers
  • Familiarity with CI/CD, version control, and DevOps practices for data pipelines
  • Exposure to operations research, optimization, or forecasting data use cases
  • Experience working in Agile / SAFe environments

Professional Skills

  • Strong problem‑solving mindset and attention to data quality
  • Ability to work across technical and business teams
  • Clear communication and documentation skills
  • Good planning, prioritization, and stakeholder management skills

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.

Our Company

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. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

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