Senior/Staff Data Engineer (Relocation to Bangkok)

Why Coda

Coda is a global growth engine for commerce. We bring together powerful capabilities that connect people, digital products, and payments through our suite of trusted digital monetization and distribution solutions.

We recently acquired Recharge, Europe’s leading prepaid payments and digital gift card business, bringing both companies together into one organisation with broader reach, deeper capabilities across B2B and B2C commerce and a stronger global footprint.

Today, we stand as a team of more than 600 people, representing 57 nationalities across 23 locations. We are headquartered in Singapore with offices in Amsterdam, Dubai, Shanghai and other hubs across Southeast Asia. 

Our B2B business works with publishers and brands to support growth across markets. We run Codapay for local payment acceptance and Custom Commerce for direct-to-consumer webstores. We manage catalogue, prepaid and distribution services that extend reach globally, and we operate Giftcloud’s rewards and incentives capabilities. We take on the operational complexity around payments, tax and compliance so partners can scale with clarity and focus.

On the consumer side, we operate a portfolio of trusted storefronts including Codashop, Recharge.com , Startselect.com , mobiletopup.co.uk and other local sites that give customers secure and easy access to digital credit, game vouchers, gift cards and prepaid products.

Our people are at the heart of what we do. Coda’s culture is centered on respect, clarity, ownership, and collaboration. We work hard and play hard together.

If you’re looking for growth and impact in a fast-paced global team, Coda is the place for you.

Engineering - Technology at Coda 

At Coda, our goal is to make our mark in the high-volume payments and e-commerce industry – and we are levelling up fast. To stay in stride with the dynamic environment, we focus on building robust, distributed systems that can effortlessly handle traffic spikes. Moreover, our ambitious roadmap necessitates innovative tools to streamline the development lifecycle and sustain our swift momentum.

We place great value on balancing teamwork with individual autonomy, allowing our teams to make the most of modern cloud infrastructure. Our tech stack is solidly based on AWS cloud, with a keen interest in infrastructure-as-code and the creation of new microservices via the Quarkus framework. Our toolbox includes JSON and GRPC, multiple data storage integrations, queues, OpenTelemetry, and more.

But what truly defines us? It's our incredible team. We hire top talent and give them the freedom to push Coda's technology and products to exciting new levels. We believe that genius can strike anywhere, so we promote ownership and cultivate a servant leadership culture that lets engineers take the reins on features.

About the role

As a Senior or Staff Data Engineer, you’ll be joining a cross-functional team of other Data Engineers and Data Scientists and will be focusing on designing, building and optimizing infrastructure that will have a real impact on business performance. At Coda, you will be working with diverse datasets including our hundreds of millions of transactions processed across hundreds of different payment channels, such as e-wallets, credit cards, direct carrier billing and over the counter by gamers and digital content consumers in 50 countries around the world. You will be part of a growing team, and there will be limitless opportunities to be hands-on and to take on exciting new projects to showcase and sharpen your abilities! We take great pride in developing individuals and well-rounded teams' careers and your managers and peers will guide and support you through your journey at Coda!

Responsibilities

• Building and maintaining high-performance data systems that enable faster and deeper insights for all parts of our organization
• Designing and Developing ETL/ELT pipelines for both batch and streaming data
• Deploying, managing and monitoring data infrastructure
• Supporting Data Scientists and Analysts by streamlining and automating data processes and reporting
• Improving and maintaining data quality and governance
• Communicating effectively with stakeholders
  
  

• Experience in working with large datasets in both batch and real-time
• Good understanding of data structures, data architecture and data warehousing
• Good understanding of data platforms architecture, infrastructure and best practices
• Expertise in Python and SQL
• Knowledge and practical experience in one or more back end programming languages (Java, Scala, Kotlin, Groovy, Go, C/C++, Rust, Python, C#, etc.) and the ability to learn new programming languages quickly
• Experienced in designing complex DAGs in Airflow or similar technology
• Experienced in working with data warehouse/lake platforms such as Databricks, Snowflake, AWS, Azure or GCP
• Experienced in data modeling, cataloging, governance and quality monitoring
• Experienced in working with data streaming tools such as Spark Streaming and Kafka
• Experienced in creating, deploying and maintaining infrastructure using infra as code
• Experienced in developing scalable data warehouse in accordance with either one of GDPR-EU, CCPA-US, LGPD-BR or PDPA - SG

We are proud to be an equal opportunity employer, embracing the unique qualities of every individual, regardless of gender, race, age, religion, disability, or other local protected classes. Our goal is to foster an inclusive environment where everyone feels welcome and valued.

Due to the large number of exceptional applications we receive, we can only reach out to shortlisted candidates. If you don't hear from us, rest assured there may be another opportunity at Coda that aligns better with your unique abilities. Remember to check our Careers Page for more exciting job openings!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.