Über diese Senior Data Engineer Stelle bei Coda
Coda is a global growth engine for commerce, connecting people, digital products, and payments through trusted monetization and distribution solutions.
With 600+ people from 57 nationalities across 23 locations, we’re a truly global team headquartered in Singapore, with offices in Amsterdam, Dubai, Bristol, Shanghai, Eindhoven, and across Southeast Asia.
We power global commerce through a dual model. Our B2B solutions, Codapay, Coda Webstore, Coda Links, Coda Distribution, and Giftcloud, enable publishers and brands to monetize and distribute digital content globally. On the consumer side, we operate a portfolio of trusted storefronts including Codashop, Recharge.com, Startselect.com, and mobiletopup.co.uk, that give customers secure and easy access to game top-ups, digital credits, vouchers, gift cards and prepaid products in over 70 markets.
Our culture is built on respect, ownership, and collaboration. We move fast, support each other, and celebrate wins together.
If you’re looking to grow your career and make a real impact in a 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.
The Opportunity
As a Data Engineer, you’ll be joining a cross-functional team of Software Engineers and Data Engineers working closely with data scientists and other engineering teams . We are looking for someone with a strong software engineering background who will focus on designing, building, and optimizing high-scale data infrastructure and platforms that have a real impact on business performance.
At Coda, you will work with diverse, massive datasets including billions of transactions processed across hundreds of different payment channels (e-wallets, credit cards, direct carrier billing, etc.) by gamers and digital content consumers in 50 countries. You will be part of a growing team with limitless opportunities to be hands-on, apply core software engineering principles to big data challenges, write production-grade code, and take on exciting new projects. We take great pride in developing individuals and well-rounded teams, and your managers and peers will guide and support you throughout your journey at Coda!
What you'll do
Build and maintain high-performance, scalable data systems and architectures that enable faster, deeper insights across the organization.
Design and develop robust ETL/ELT pipelines for both batch and streaming data using modern software engineering practices.
Deploy, manage, and monitor cloud-based data infrastructure with a heavy emphasis on automation and reliability.
Support Data Scientists by streamlining, automating, and deploying machine learning models and supporting modern AI agentic workflows.
Improve and maintain data quality, data modeling, and governance standards across our Data lakehouse.
Communicate effectively with stakeholders, and engineer solutions that empower analysts and product teams.
What you'll bring
A solid background in Software Engineering with practical experience managing and processing "Big Data" within data lakes and data warehouses.
Hands-on experience creating, deploying, and maintaining cloud infrastructure using Terraform.
Strong proficiency in Python and SQL, alongside deep comfort with core software development principles.
Practical experience in one or more backend programming languages (Java, Scala, Go, Rust, C++, etc.) and the ability to spin up on new languages quickly.
Experience working with major data warehouse/lake platforms (e.g., Databricks, Snowflake, AWS, Azure, or GCP) and designing complex DAGs in Airflow (or similar orchestration tools).
Experience with data streaming tools and frameworks such as Spark Streaming and Kafka.
Exposure to, or strong interest in, MLOps (Machine Learning operations) and building/comfort with AI agentic workflows.
Solid understanding of data modeling, cataloging, governance, and quality monitoring.
Experience developing scalable data architectures in accordance with global compliance standards (GDPR, CCPA, LGPD, or PDPA).
