From Market Data Specialists to 'Modern Data Engineering'

For more than 25 years, CJC has been helping some of the world's largest financial firms design, build and support business-critical market data platforms. From LSEG RTDS and Bloomberg B-

PIPE to Exegy, Solace, Kafka, and modern observability platforms, we've built our reputation on delivering reliable, high-performance solutions in some of the industry's most demanding environments.

But the role we play today is broader than many people realise.

Over the past decade, financial firms have been transforming the way they manage and use market data. Cloud adoption has accelerated. Enterprise data platforms have become strategic assets. AI is moving from experimentation into production. As a result, the line between traditional market data engineering and enterprise data engineering is blurring.

Many of the organisations that once relied on us solely for market data expertise now want support across cloud platforms, analytics, AI, observability and modern data architectures.

That's where the Modern Market Data Engineer comes in.

What is a Modern Market Data Engineer?

Ten years ago, being a great market data engineer meant mastering a relatively focused set of technologies and platforms. Today, the picture looks very different. Market data expertise remains a critical foundation, but firms increasingly need engineers who can work across cloud platforms, real-time data streaming, analytics, observability and AI-driven solutions.

At CJC, our global teams regularly work with technologies spanning cloud infrastructure, data platforms, streaming architectures, business intelligence, machine learning and modern monitoring environments. These include:

This broader skillset allows our teams to connect the dots between traditional market data environments and the cloud-native ecosystems that many firms are now building. As a result, our teams support initiatives ranging from cloud migrations and lakehouse deployments to AI-enabled analytics, intelligent search, data governance programmes and modern observability platforms.

This breadth of expertise allows our engineers to bridge the gap between traditional market data environments and the modern cloud-native platforms that organisations are increasingly adopting.

More Than Technical Skills

But technology skills are only part of the story. One lesson we've learned over the last 25 years is that successful outcomes rarely depend on technology alone. The real challenge is building solutions that can be operated, supported and trusted over the long term.

At CJC, we've always believed that good engineering should be practical and reliable. Solutions need to be scalable, resilient and supportable, but they also need to fit the realities of the firms deploying them. A project isn't successful simply because it goes live. It's successful when it's still performing reliably months and years later. That's why our clients don't just gain access to technical specialists. They gain engineers who understand governance, operational support, documentation, resilience, change management and long-term optimisation.

Building Capability Through Continuous Learning

One of CJC's greatest strengths is the way we develop our people.

Training and development are not viewed as one-time activities but as a continual process throughout every employee's career. Through structured onboarding, mentoring, knowledge sharing, scenario-based learning, internal technical sessions, online training and industry-recognised certifications, we encourage consultants to continually expand their expertise while remaining grounded in CJC's delivery standards and engineering principles.

Today, our engineers hold certifications and accreditations across Snowflake SnowPro, Databricks, AWS, Microsoft Azure, Google Cloud, Neo4j, TOGAF and numerous other specialist disciplines.

Just as importantly, our consultants benefit from working alongside colleagues across market data, cloud engineering, AI, observability, enterprise data platforms and managed services. This cross-pollination of experience helps create engineers who understand not only individual technologies, but also how those technologies interact within a wider operational ecosystem.

Continuing to Evolve

Technology will continue to evolve. New platforms will emerge, AI capabilities will expand, and data architectures will keep evolving. What won't change is the need for engineers who can connect and integrate these technologies while maintaining the operational discipline that financial firms depend on. That's exactly what the Modern Market Data Engineer is designed to do.

At CJC, we've been developing those capabilities for more than 25 years. As the next generation of technology innovation arrives, we'll continue helping our clients bridge the gap between market data, cloud, analytics, AI and observability. Turning complex technology challenges into practical business outcomes.

"Market data engineering has always demanded precision, resilience and deep technical expertise. What is changing is the breadth of capability now required. Today’s engineers must understand not only traditional market data platforms, but also cloud infrastructure, enterprise data, real-time streaming, observability, analytics and AI. At CJC, we see this evolution as an opportunity. The Modern Market Data Engineer is not defined by expertise in a single technology, but by the ability to connect platforms, understand the operational environment and translate innovation into dependable business outcomes. That combination of technical depth, adaptability and operational discipline will be essential as financial institutions move further into the AI era. Our responsibility is to ensure that our people continue to develop alongside the technology. By investing in continuous learning, practical experience and cross-disciplinary expertise, we are building engineers who are equipped not simply to respond to change, but to help shape what comes next.” - Paul Gow, Chief Executive Officer at CJC Ltd.