Senior Data Engineer

About Us 

MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There. 

The Role  

We are seeking a hands-on Senior Data Engineer to join our Data and Analytics Platform team, driving the strategy, design and implementation of our next-generation cloud-based Data Fabric and Data Mesh platform (Data Platform 2.0). This is a deeply technical role for a builder who enjoys writing high-quality code, designing scalable systems, and working directly with engineering teams to implement complex, real-time data solutions. You’ll be equally comfortable sketching out an event-driven architecture for a business unit, contributing code to shared data infrastructure, and guiding implementation across multiple domains. This role is pivotal to enabling teams to create scalable, data-driven products and underpinning our enterprise-wide data strategy. 

Our Vision  

We believe decentralized data is the future, with Data Platform 2.0 as the key to unlocking its potential. Our vision is a world where data is treated as a product, ownership is distributed to foster innovation, and domain-oriented, decentralized infrastructure drives agility and collaboration. While supporting challenging data sets, and, flexible scenarios required for Agentic AI, Sandbox environments and more 

The Data Platform 2.0 transforms data into a strategic asset. Through well-defined data domains and business ownership, we aim to: 

• Empower teams with self-serve data infrastructure
• Treat Data Domains as first-class products
• Shift responsibility to domain teams to foster accountability and innovation

By embracing platform thinking and adhering to the four pillars of Data Mesh: data ownership, data as a product, self-service infrastructure, and federated governance. We are enabling a seamless experience for creating, discovering, and utilizing trusted, connected, and real-time data. 

If you are passionate about shaping the future of data through cutting-edge architectures, fostering a culture of data stewardship, and enabling decentralized innovation, we’d love to hear from you! 

How You'll Help Take Us There  

• Collaborate with Product Managers, Data Scientists, Engineers and analysts on critical initiatives to build and distribute revenue producing data products 
• Architect, design, build and implement and support data pipelines and products to support Agentic Al, Streaming SQL, ML and analytical use cases 
• Lead the architecture, implementation, and operations of platforms and tools for securing, processing, and querying data at scale
• Provide the leadership and research of new technologies within the team 
• Collaborate with and across Agile teams to design, develop, test and implement data and analytics solutions 
• Design, build, and scale infrastructure in Cloud (e.g., AWS, Iceberg, Bedrock) and analytics applications using big data and machine learning technologies 
• Participate in setting the standards for cloud-based initiatives 
• Architect and develop end to end scalable data applications and data pipelines  

What We’re Looking for  

• 12+ years of progressive software/data engineering experience with high proficiency in two of the following: Python, Java or Scala  
• Experience in cloud computing (e.g. applications, infrastructure, storage, data and platforms) 
• Designing and building complex, highly scalable, reliable data pipelines, using the Big Data ecosystem (Spark, Iceberg, Glue Catalog, Kafka or equivalents) 
• Cloud native application and cloud services architecture on AWS (MSK, Flink, Bedrock, Lambdas, Spark/EMR)
• API and microservices architecture 
• Streaming and event processing ar