Big Data Engineer (PostgreSql, Python)

Deliveree On-Demand Logistics
Cafe Area
Cafe Booth
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431 Hoàng Văn Thụ, Phường 4, Tân Bình, Hồ Chí Minh, Vietnam, Tan Binh, Ho Chi Minh
At office
Posted 16 days ago

Top 3 reasons to join us

  • International Working Environment
  • Stronger Career Path / More opportunity
  • Competitive compensation & Benefits

Job description

At Deliveree, we rely on powerfully insightful data to power our systems and solutions. We’re seeking a talented Big Data Engineer to develop and manage cutting-edge Big Data solutions. Join us to build intelligent systems that enhance Deliveree's business, with your work supporting millions of users and driving our success.

In this role, you’ll build and operate data systems driving disruptive products, collaborate with a skilled development team, and provide technical insights to influence business and product decisions. Join us to grow your skills in a fast-paced startup and revolutionize the logistics industry with your passion for technology.
What will you do?

  • Supporting business decisions with ad hoc analysis as needed
  • Monitoring data performance and modifying infrastructure as required.
  • Collect and process raw data at scale for various projects and initiatives.
  • Build and maintain systems for storing and processing large-scale data.
  • Develop scalable and reliable ETL pipelines to ingest and process diverse data types (structured, semi-structured, traffic, etc.) from multiple sources.
  • Work with the engineering team to integrate data pipelines into production systems.
  • Monitor data infrastructure performance and apply improvements as needed. 

Your skills and experience

  • Bachelor’s degree in Data Science, Computer Science, IT, Applied Mathematics, or a related field.
  • 1–2 years of experience in data engineering or related roles.
  • Hands-on experience with object-oriented or functional programming languages (e.g., Python).
  • Basic knowledge of big data tools and frameworks (Hadoop, Spark, Kafka, etc.).
  • Understanding of data processing pipelines, including batch and stream processing.  Familiarity with Linux-based systems.
  • Exposure to distributed data processing and storage solutions (e.g., Airflow, dbt,...).
  • Strong problem-solving skills and the ability to troubleshoot data and software issues.
  • Good English communication skills (both written and verbal).
  • Familiarity with monitoring and optimizing data systems for performance is a plus. 
     

Why you'll love working here

REGIONAL COMPANY

  • An exciting opportunity to work with the fastest growing international logistics player.
  • International environment where you can work and learn with coworkers from different southeast asian markets.
  • Opportunities for onsite trip in our operating markets.
  • Relocation Package to HCMC if from far city or country.
  • Flexible Working Hour.

FOOD & BEVERAGE

  • Free high quality office lunch buffet or restaurant menu.
  • All Day Coffee Station Machine with some of the best coffee beans around.
  • Free Late Dinner Menu from near restaurant.
  • Free Flow of Coffee and Drinks (Juice, Coke, Sprite, Red Bull)
  • All Day Free Snack
  • Every Friday Special Snack & Beers

COOL SPONSORSHIP

  • Sponsorship for 6 or 12 months Gym (2 floors above) to stay healthy and in shape!
  • Monthly Mobile Data Allowance
  • Company Sponsorship for Personal Laptop

BONUSES

  • Loyalty Bonus Package
  • 13th Month Salary

HEALTH & LEAVES

  • Annual Health Checkup
  • 100% Insurance According To Labor Law
  • Premium Healthcare Insurance Package
  • 15 Days Paid Annual Leave

SOCIAL & ENTERTAINMENT

  • Welcome Kit From Deliveree
  • Welcome Gift Funky Toy (as part of our longest tradition)
  • Regular Team Social Events
  • Cool Entertainment Area (Guitar, Video Games, ...)

Deliveree On-Demand Logistics

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At Deliveree, we disrupt the logistics industry with technologies.

Company type
IT Product
Company industry
Transportation, Logistics and Warehouse
Company size
51-150 employees
Country
Singapore
Working days
Monday - Friday
Overtime policy
No OT