Jobs at Data Intellect

Design and deploy production LLM-backed agentic systems for financial-services clients. Build tool-using agents, MCP servers, retrieval and multi-agent orchestration, evaluations, and guardrails across cloud and locally hosted models. Translate client problems into maintainable proofs of concept, explain technical decisions to varied audiences, and create reusable accelerators. Collaborate directly with client engineers and stakeholders while applying strong software engineering, communication, and independent problem-solving skills.

Graduate developers complete a three-month training program in Belfast covering Q programming and the kdb+ time-series database. They then work on financial data solutions for investment banks and hedge funds, potentially in global hubs including London, New York, Hong Kong, Singapore, and Toronto. The role requires a STEM degree, strong communication and problem-solving skills, teamwork, attention to detail, and willingness to relocate. Coding experience is beneficial but not required.

Graduate developer role featuring a three-month Belfast training program in Q programming and kdb+ time-series technology. Graduates will develop skills for financial data solutions supporting investment banks and hedge funds, with potential relocation to global financial hubs. Candidates need a STEM bachelor’s degree, strong communication and problem-solving abilities, teamwork, attention to detail, and willingness to relocate. Coding experience is beneficial but not required.

Leads technical delivery of high-performance kdb+ solutions for financial institutions. Designs scalable architectures for billions of time-series data rows, collaborates with quants and traders, mentors developers, and owns application development, testing, support, and maintenance. Drives innovation across kdb+, q, and related technologies while translating business needs into performant code.

Lead delivery of a strategic risk technology transformation program for a hedge fund client. Responsibilities include managing project plans, milestones, dependencies, risks, issues, Jira workflows, JQL dashboards, executive reporting, stakeholder communications, release planning, system integrations, and migration from legacy technology to a modern risk platform. The role coordinates developers, quantitative teams, business stakeholders, and senior technology leadership while maintaining delivery governance and proactively resolving blockers.

Develop and enhance bespoke Python backend services, collaborate with clients on architecture and design, implement best-practice solutions, use appropriate tools/frameworks, write automated tests, manipulate complex datasets, share knowledge, and work in cross-functional teams to deliver clean, efficient software.

This role involves developing and maintaining kdb+ applications, collaborating with business users, and mentoring junior developers in a dynamic team environment.

As a Senior kdb+ Engineer, you'll lead client projects, design kdb+ architectures, mentor developers, and drive technical innovation in high-performance data systems.

Mid-level Python Engineer to learn and implement OneTick solutions, build Python applications and data pipelines, integrate with client platforms, deliver production-ready scalable solutions, troubleshoot production issues, collaborate with stakeholders, and develop domain expertise through training and hands-on delivery. Role is Belfast-based (hybrid) with potential travel to London and New York.

Consult as part of a team building high-performance, cloud-native data platforms for financial markets. Design and implement scalable data pipelines, data models and analytical workloads using Python, SQL and ClickHouse. Deploy and optimise ClickHouse in client environments, work with distributed architectures, container orchestration and automation tools, and collaborate directly with client engineering teams.