Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Bangkok, Thailand"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€9,260–€13,890). The listed pay band (€485–€607) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,375/per month | €7,000/per month |
| All roles in Bangkok, Thailand | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Senior) | €485/per month | €546/per month | €607/per month |
Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes. Able to analyze data to help us make better decisions. Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace. Requirements include a Bachelor’s degree in CS/IS/engineering, 6+ years software engineering with 4+ years in data/ML engineering, expertise in SQL, Python3, JVM languages, data pipelines, Hadoop/Spark, ML concepts, and strong analytical skills. Beneficial: Hadoop ecosystem knowledge, Scala Spark, agile/test-driven, Linux. Perks include Hybrid work, remote work allowances, global offices, CSR time off, and more.
Job Details
Responsibilities
- Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes
- Able to analyze data to help us make better decisions
- Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production
- Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks
- We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace
Requirements
- Bachelor’s degree in computer science/information systems/engineering/related field
- 6+ years of experience in software engineering with at least 4+ years in data/ml engineering
- Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality
- Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
- Expert in software design/design patterns/best practices, functional programming and object-oriented programming.
- Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
- Familiar with general Machine Learning concepts and common models - ie, regularization, Tree Models, etc
- Familiar with statistical analysis concepts - ie, p-value, z-score, etc
- Analytical problem-solving capabilities & experience.
Skills & Technologies
Education Level
BachelorPerks
- Hybrid working model
- WFH setup allowance
- 30 days remote working from anywhere globally every year
- Employee discount for accommodation globally
- Global team of 90+ nationalities
- 40+ offices and 25+ countries
- Annual CSR / Volunteer Time off
- Benevity Subscription for employee donations
- Volunteering opportunities globally
- Free Headspace subscription
- Free Odilo & Udemy subscriptions
- Employee Assistance Program
- Enhanced Parental Leave
- Life, TPD & Accident Insurance
Benefits & Perks
Benefits
Perks
Recruitment Process
- 1Application review
- 2Phone screen
- 3Technical interview
- 4Offer
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