Get to Know our Team

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity

We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.

This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks.

As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the development of AI-powered data querying solutions, enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

What you'll Need to Succeed:

• 10+ years of experience in software engineering, data engineering, or related fields
• Strong hands-on experience with:
• SQL and large-scale data systems
• Modern analytical databases / data warehouses (e.g., StarRocks, Snowflake, BigQuery, ClickHouse)
• Backend development (e.g., Python, Java, Scala or similar)
• Experience building or working with:
• AI/LLM-based applications (e.g., text-to-SQL, conversational interfaces, cursor, copilots)
• Data platforms or analytical infrastructure at scale
• Strong understanding of data modeling, query execution, and performance optimization
• Proven ability to lead cross-team, high-impact technical initiatives
• Ability to navigate between deep hands-on work and strategic technical leadership
• Excellent communication skills with both technical and non-technical stakeholders

It's Great if you have:

• Experience with text-to-SQL systems or AI-driven data interfaces
• Experience implementing or scaling analytical engines such as StarRocks
• Background in data observability, quality, or governance frameworks
• Experience with tools like dbt, Airflow, Spark, or similar

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

Get to Know our Team

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity

We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.

This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks.

As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the development of AI-powered data querying solutions, enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

What you'll Need to Succeed:

• 10+ years of experience in software engineering, data engineering, or related fields
• Strong hands-on experience with:
• SQL and large-scale data systems
• Modern analytical databases / data warehouses (e.g., StarRocks, Snowflake, BigQuery, ClickHouse)
• Backend development (e.g., Python, Java, Scala or similar)
• Experience building or working with:
• AI/LLM-based applications (e.g., text-to-SQL, conversational interfaces, cursor, copilots)
• Data platforms or analytical infrastructure at scale
• Strong understanding of data modeling, query execution, and performance optimization
• Proven ability to lead cross-team, high-impact technical initiatives
• Ability to navigate between deep hands-on work and strategic technical leadership
• Excellent communication skills with both technical and non-technical stakeholders

It's Great if you have:

• Experience with text-to-SQL systems or AI-driven data interfaces
• Experience implementing or scaling analytical engines such as StarRocks
• Background in data observability, quality, or governance frameworks
• Experience with tools like dbt, Airflow, Spark, or similar

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

Get To Know Our Team:

The Data department oversees all Agoda’s data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. 

The Opportunity:

As BI Manager, you will lead a new scrum team dedicated to supporting the B2B entity. Your team will own the end-to-end process of designing, building, and operating the B2B data lake and its associated data products, enabling financial reporting, operational analytics, and data-driven decision making across the organization. You will partner closely with Finance, Planning, Revenue Operations, Data Engineering, and Analytics stakeholders to ensure that data is discoverable, auditable, performant, and fully aligned with organizational and financial reporting requirements.

What You’ll Do:

• Own the full lifecycle for the data lake: ingestion, storage, cataloging, transformation, validation, and access provisioning.
• Define the data model, schema standards, and partitioning/retention strategies that support financial reporting, forecasting, and partner operations analytics.
• Establish and enforce data governance, lineage, and auditability practices critical for financial reporting (including source-to-target traceability and reconciliation).
• Implement scalable ingestion pipelines from multiple upstream systems (transactions, bookings, settlements, partner contracts) ensuring timeliness and correctness for reporting cycles.
• Build and maintain transformation pipelines (ETL/ELT) to create clean, reproducible datasets and aggregated marts used by reports and planners.
• Lead the team’s dashboard vision and quality, leading design reviews and making strategic decisions that shape how the business consumes data.
• Drive performance and cost-efficiency for the data lake: query optimization, data compaction, caching layers, and lifecycle policies to meet performance SLAs.
• Set up automated data quality checks, reconciliation jobs, and alerts, to surface anomalies before they impact reports.
• Provide self-serve data access patterns and APIs for analytics teams, planners, and finance consumers while enforcing role-based access and separation of duties.
• Collaborate with Finance and other business stakeholders to translate reporting requirements into deliverable data products and schedule data delivery aligned with financial close and planning cadences.
• Lead sprint planning, backlog prioritization, and delivery governance for the scrum; hire and mentor engineers and data stewards for the team.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 5+ years experience building and operating data platforms, data lakes, or large-scale data pipelines; 3+ years in a leadership or engineering lead role.
• Strong proficiency in SQL and scripting languages (e.g., Python, Scala, or Java) for ETL/ELT development and data validation.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica)
• Experience with data storage and processing technologies such as Delta Lake, Apache Iceberg, Hive, S3/GCS, Spark, Presto/Trino, or equivalent cloud data lake components.
• Solid understanding of data modelling for analytics and financial reporting (star schemas, slowly changing dimensions, partitioning, compaction).
• Demonstrated experience implementing data governance, data lineage, cataloguing (e.g., AWS Glue, Data Catalog, Amundsen), and role-based access control to meet audit and compliance requirements.
• Hands-on experience with orchestration and workflow tools such as Airflow, Prefect, or similar for scheduling and dependency management.
• Proven ability to design and run data quality frameworks (reconciliation, anomaly detection, SLA monitoring) with automated alerting.
• Experience with performance optimization for large datasets: partitioning, indexing, caching, query tuning, and cost-management strategies.
• Leadership in dashboard strategy, driving quality and experience in running effective design reviews, making strategic decisions that shape data consumption.
• Strong stakeholder management skills — able to translate finance and operations requirements into prioritized data products and delivery plans.
• Excellent communication skills in English — able to produce clear documentation, lead cross-functional reviews, and present to finance stakeholders.
• Problem-solving mindset, attention to detail, and commitment to data accuracy and auditability for financial reporting.
• Experience hiring, mentoring, and developing engineers/data stewards; ability to build a culture of ownership and operational excellence.

Preferred Qualifications:

• Experience with Snowflake and familiarity with Snowflake-specific features (clustering keys, materialized views, Time Travel, zero-copy cloning)
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
• Analytics, business intelligence, or data visualization experience
• Knowledge of compliance and audit requirements for reporting systems.

This role will follow a hybrid working arrangement with our client, 3 days per week onsite in the Nonthaburi area. High possibility to be converted to our full time engineer.

In this role, you will get to:

• Design and build scalable, reliable data pipelines (ETL/ELT) for large-scale datasets
• Architect and implement modern data platforms using Databricks (Lakehouse, Delta Lake)
• Develop robust data processing using Python (PySpark) and SQL
• Own end-to-end data workflows: ingestion, transformation, validation, serving
• Optimize data pipelines for performance, scalability, and cost efficiency
• Define and enforce data engineering best practices, standards, and governance
• Collaborate with Data Scientists, Analysts, and Product teams to translate business needs into data solutions
• Implement orchestration and scheduling frameworks (e.g., Airflow / Databricks Workflows)
• Ensure data quality, reliability, and observability across pipelines
• Lead technical discussions and contribute to architecture decisions
• Mentor junior engineers and support team capability building

You’ll be successful if you have:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 4+ years of hands-on experience in data engineering roles, ideally using Databricks in building scalable data pipelines 
• Expertise in building data pipelines using tools like Databricks, Airflow
• Strong knowledge of data lake/warehouse architecture (e.g., Snowflake, Redshift, BigQuery, or Delta Lake)
• Advanced in Python, SQL programming skills 
• Proven experience working with cloud infrastructure (AWS, GCP, Azure) and managing cloud-native data platforms
• Strong problem-solving and communication skills; able to lead data initiatives with minimal supervision
• Good command in English

APPLY NOW!

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Initial), Phuket, Thailand (From November 2026) Visa sponsorship and relocation assistance provided for both locations if needed. 

Monthly Base Salary range of THB 158,000 to THB 265,000 per month + performance-based bonus + opportunity to join our employee share scheme 

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

The Phuket Roadmap 

This role offers a unique global career path. To ensure seamless integration into our culture and trading strategies, the successful candidate will begin their journey at our Dubai headquarters. In November 2026, the role will transition permanently to our upcoming hub in Phuket, Thailand, offering a blend of high-impact work and an exceptional lifestyle. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

Role Description: 

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role  

• A full-time, high-impact position within our dynamic Commercial team. 
• A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what’s possible. 
• A career that challenges you to solve complex problems and rewards your drive for continuous innovation. 
• A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes. 
• The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment. 
• Equity participation, ensuring long-term alignment 

Key Responsibilities:  

• Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions. 
• Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods). 
• Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex). 
• Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar). 
• Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency. 
• Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions. 
• Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact. 

Requirements:  

• 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results. 
• Strong academic background in computer science, mathematics, statistics, or a related field  
• Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges. 
• Expertise in Python programming, with an ability to apply it to advanced data science problems. 
• Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications. 
• Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains. 
• Knowledge of machine learning algorithms and data visualization tools  
• Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments 

This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.  

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly.