Senior/Data Engineer (Remote)

( IT / Development )  Remote (Asia | APAC Time Zone Permitted)

Job Type : Full-Time
Experience : 3 to 5 years
Education : Bachelor Degree

Job Detail

Are you passionate about building great products? Do you want to redefine the way travellers explore the world? Keen to be part of this growth journey with a bunch of amazing people? Then Pelago is the place for you!

We are looking for ambitious and motivated talents who are excited about staying on the cutting edge of Technology and always keen on innovating new ways to drive growth and taking our startup to new heights.


Pelago is a travel experiences platform created by Singapore Airlines Group. Think of us as a travel magazine that you can book - highly curated, visually inspiring, with the trust and quality of Singapore Airlines. We connect you with global, local cultures and ideas so you can expand your life.

We are a team of diverse, passionate, empowered, inclusive, authentic and open individuals who share the same values and strive towards a common goal!


  • A unique opportunity to take end-to-end ownership of your workstream to deliver real value to users.
  • Platforms to solve real user problems concerning travel planning & booking with innovative products/services.
  • An amazing peer group to work with, and the ability to learn from the similarly great minds around you.
  • An opportunity to be an integral part of shaping the company’s growth and culture with a diverse, fun, and dynamic environment with teammates from different parts of the world.
  • Competitive compensation and benefits - including work flexibility, insurance, and more!


We are looking for an experienced Data Engineer to create and manage the data warehouse for Pelago. You will be responsible for designing data pipelines to collate and store data from multiple sources. This data will serve as the single source of truth for all analytical and engineering needs - generating analytic reports, decision making, data science etc. You will be a part of the wider Engineering team.

  • Spearhead development of systems, architectures, and platforms built for scale
  • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
  • Work closely with data scientists to ensure real-time data availability and hygiene as required
  • Work with product managers and business to facilitate timely data availability to serve analytic dashboards
  • Act as the owner of data collection, availability and cleanliness to enable accurate data access
  • Diagnose and solve issues in our existing data pipelines and envision and build for scale


  • A degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines
  • Strong foundation in data query/manipulation using SQL
  • Deep understanding of databases and best engineering practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline
  • Experience working with Event Streaming platforms like Kafka (preferred), Kinesis etc.
  • Passionate about data, new data technologies, and discovering new and interesting solutions to the company’s data needs
  • Excellent communication skills to communicate with the product development engineers to coordinate development of data pipelines, and or any new features that can be built on top of the results of data analysis
  • Experience coding in Python
  • Experience working remotely


  • Experience with AWS ecosystem.

If you’re as excited as we are in this journey, do apply directly with a copy of your full resume and portfolio (if any). We'll reach out to you as soon as we can!

If you’re as excited as we are in this journey, do apply directly with a copy of your full resume and portfolio (if any). We'll reach out to you as soon as we can!

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