Senior/Staff Data Engineer – Bidding

Senior/Staff Data Engineer – Bidding

OPEN TO CANDIDATES OF ANY NATIONALITY

FULL RELOCATION SUPPORT PROVIDED

Location: Bangkok, Thailand

Employment Type: Permanent

Working Model: Hybrid

Relocation Support: Available

About the Company

Our client is a leading global travel technology company operating across multiple international markets. Data and technology are central to its business, supporting millions of customers and large-scale digital products worldwide.

The engineering team works across data engineering, machine learning, business analytics, and backend development. It builds scalable platforms, pipelines, and tools that help data science and commercial teams launch experiments, improve decision-making, and deliver reliable production systems.

The Role

The Senior/Staff Data Engineer will provide technical leadership while designing and improving large-scale data and machine-learning systems. The position offers end-to-end ownership and close collaboration with experienced engineers, product owners, data scientists, and business stakeholders.

Key Responsibilities

• Provide technical leadership to improve the scalability, quality, accuracy, speed, and efficiency of existing data and machine-learning processes
• Design, build, test, and maintain data pipelines, platforms, libraries, and engineering tools
• Support data science and business teams in launching experiments into production
• Analyse complex datasets to support commercial and technical decision-making
• Develop tools that automate large-scale data management, analysis, and machine-learning activities
• Build reliable systems that allow experiments and new solutions to be deployed rapidly
• Maintain high standards of data quality, software design, testing, and engineering best practices
• Take end-to-end ownership of systems from initial design through production deployment and ongoing improvement

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline
• At least 6 years of software engineering experience
• At least 4 years of experience in data engineering or machine-learning engineering
• Expert-level experience designing, developing, and maintaining data pipelines and data systems
• Strong expertise in SQL and Python 3
• Strong experience with a JVM-based programming language such as Java or Scala
• Hands-on experience with technologies such as Scala, Apache Spark, Hadoop, SQL, and cloud object storage
• Strong understanding of software architecture, design patterns, functional programming, object-oriented programming, and engineering best practices
• Experience ensuring data quality, reliability, and scalability
• Familiarity with general machine-learning concepts and common models, including regularisation and tree-based models
• Familiarity with statistical analysis concepts such as p-values and z-scores
• Strong analytical and problem-solving ability
• A data-driven engineering mindset
• Professional English communication skills

Desirable Experience

• Strong understanding of the Hadoop ecosystem and big-data architecture
• Commercial Scala or Scala Spark development experience
• Experience working in an Agile engineering environment
• Experience with test-driven development methodologies
• Linux systems administration knowledge
• Experience supporting data science, machine-learning, experimentation, or performance-marketing platforms

Benefits

• Hybrid working model
• Relocation support
• Work-from-home setup allowance
• Up to 30 days of remote working from overseas each year
• Employee accommodation discounts
• International and multicultural working environment
• Annual volunteer leave
• Professional learning and development subscriptions
• Employee wellbeing and assistance programme
• Enhanced parental leave
• Life, total permanent disability, and accident insurance