Senior Data Engineer

  • Ho Chi Minh City

Timo is proud to be a pioneer in the digital bank category. Our vision is to be “A bank that helps people stay on top of their finances to live their best possible life”. Timo is growing and we’re looking for a Senior Data Engineer to build the next generation of data platform.

We would love to talk with you if you find yourself fitting most of the followings:

  • You’re an experienced data engineer with a history of designing data pipelines, warehouses, data models and tools needed to support data-intensive products and applications.
  • You want to deploy code continuously and if anything unexpected happens, you have it covered and keep improving it in an agile way.
  • You love to learn new things and put them into practice.
  • You like to apply best practices in data engineering and promote it across teams.


  • Design and implement scalable, reliable data pipeline including ingestion, process and analysis of data coming from diverse sources to Data Lake.
  • Develop data models and schemas in our data stores on Data Warehouse that allow for better business insights.
  • Develop data services to enable user-facing analytics and model inference. Tightly involved in development Squad when necessary.
  • Collaborate with Data Scientists to design and deploy machine learning pipeline to enable quick life-cycle release.
  • Collaborate with Business Leaders and Analysts to define key metrics and prepare data pipelines to help the internal team perform self-service on analytical platforms.


Required Skills:

  • You have 3+ years of experience as a data engineer or software engineer for data intensive application.
  • You have 3+ years of experience with a scripting language (Python, Java, Go or Scala) for data processing and analysis.
  • You have experience designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments.
  • You have experience with Machine Learning and relevant tools & libraries.
  • You have experience writing complex SQL queries and using BI tools.

Desired Skills:

  • Bachelor/Master’s degree in a related field, such as Computer Science, Data Processing, Information Systems, or equivalent experience
  • Experience of working with AWS services such as Glue, EMR, EKS, Athena, Redshift, Kinesis and SageMaker.
  • Experience of working with open-source tools in data engineering such as Airflow, dbt, Superset, Kafka, Kedro, MLFlow and Seldon.
  • Experience of working with storage like MongoDB, MySQL, Elasticsearch and Postgres.
  • Ability to work effectively in a team environment to encourage collaboration, innovation, and continuous improvement.


  • Competitive salary
  • 13-month salary
  • Extra healthcare insurance
  • Company outing & team building
  • 15-day annual leave days
  • Data 4G allowance
  • Parking allowance
  • Taxi allowance
  • Learning & Development
  • Timo Club
  • Full time, working hours from 8:30 – 12:00 & 13:30 – 18:00 Monday to Friday weekly

Find it interesting? Apply now at: