About DataXight
At DataXight, we are committed to transforming healthcare. We’re passionate about empowering our team to work on projects that not only push biomedical boundaries but also make a tangible difference in human health. Every day here brings new challenges and opportunities for impact. Are you ready to be part of something great?
The Role
We’re looking for a Senior Data Engineer to join our digital transformation team. You’ll build and optimize data pipelines, develop robust data models, and deliver reliable analytics layers that power insights across the company.
This position is based in Ho Chi Minh City, Vietnam.
Key Responsibilities
Data Pipelines – Design, build, and maintain scalable pipelines using Airflow, DBT, Airbyte, and Python to move data reliably across systems.
Data Ingestion – Ingest structured and semi-structured data using tools like Airbyte and AWS services (S3, Lambda, EventBridge).
Modeling & BI Layer – Develop clean, scalable data models and maintain the BI data layer to support analytics and reporting.
Dashboards & Reporting – Create dashboards and reports (e.g., cloud spend, margins) using tools like Tableau, Superset, and Grafana.
Data Analysis – Explore and analyze data to uncover trends and support business decisions.
SQL & Querying – Write and optimize complex SQL queries for analytics, pipelines, and dashboards.
Data Validation – Ensure data quality and consistency across systems through validation and reconciliation.
Stakeholder Collaboration – Work with business teams to define KPIs and deliver data products that inform decisions.
Documentation – Maintain clear, thorough documentation for data flows, models, and processes
Tools & APIs – Build APIs and internal tools to make data accessible for downstream apps and analytics.
Required Skills
Python for ETL – Solid experience writing ETL workflows using Python.
SQL Mastery – Skilled in writing and optimizing complex queries (Postgres or Redshift preferred).
Data Modeling – Strong background in designing scalable, business-ready data models.
BI & Dashboards – Hands-on experience with tools like Tableau, Superset, or Grafana to create clear, insightful dashboards.
Analytical Storytelling – Able to translate complex datasets into visual insights that drive decisions.
AWS Cloud – Familiar with AWS services like S3, Redshift, Lambda, EventBridge, and others.
Airflow – Experience scheduling and monitoring pipelines using Apache Airflow.
Source Control – Use of Git/GitHub for version control and collaboration.
Communication – Comfortable working with technical and non-technical teams.
Leadership – 5+ years experience with a track record of mentoring or guiding others.
Education – Degree in Computer Science, Data Engineering, or related field.
Preferred Qualifications
Biomedical Experience: Experience in the biomedical field is highly desired
FAIR Knowledge: Knowledge of FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
Lifelong Skills
Curious & Insightful – You ask the right questions and seek clarity.
Strategic Thinker – You look beyond the ask to deliver what matters.
Effective Communicator – You explain technical ideas clearly and simply.
Action-Oriented – You break down complex work into achievable steps.
Why You Should Apply
Join a mission-driven team working at the intersection of data and human health. At DataXight, you’ll find growth, purpose, and people who care.
We are committed to your professional development and offer opportunities for training and attending conferences to enhance your skills and knowledge in your field. Our comprehensive benefits package includes:
12 days of annual leave
2 floating holidays
11 national holidays
Public and private health insurance
Company-provided onsite lunches, snacks, happy hours, and sport activities
Apply today by sending your resume and relevant work samples or GitHub to careers@dataxight.com — we look forward to hearing from you!
