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About the Role

Implement, deploy, and operate high-performance analytics and surveillance solutions for clients. This role is at the intersection of platform engineering, data workflows, and client delivery, supporting both cloud-hosted and customer-managed environments.

Responsibilities

• Implement, deploy, and support OneTick solutions across cloud and client environments.
• Contribute to the design and maintenance of scalable, resilient infrastructure for analytics and surveillance workloads.
• Support system configuration, upgrades, and production releases.
• Build and maintain efficient data ingestion, transformation, and loading workflows.
• Implement batch and streaming workflows to support analytics and monitoring use cases.
• Ensure performance, reliability, and data integrity across high-volume datasets.
• Configure and customize OneTick deployments to meet client-specific business and regulatory requirements.
• Develop client-specific extensions and integrations on top of standard products.
• Work directly with client technical teams on installation, configuration, and troubleshooting.
• Monitor production environments, identify issues, and troubleshoot failures.
• Partner with product engineering teams to resolve defects and implement improvements.
• Produce clear technical documentation and operational runbooks.
• Communicate effectively with customers on technical and implementation-related topics.
• Participate in Agile delivery models, contributing across the full implementation lifecycle.
• Support knowledge transfer and training for client users and internal teams.

Requirements

• Experience delivering production analytics, surveillance, or market data platforms.
• Strong programming experience in Python or a comparable language.
• Solid understanding of data workflows, ETL processes, and distributed systems concepts.
• Confidence working in Linux/Unix environments.
• Experience writing unit tests and working with structured testing practices.
• Familiarity with containerised or orchestrated environments (e.g. Kubernetes).
• Comfortable working in client-facing roles, explaining technical concepts clearly.
• Strong written and verbal communication skills in English.
• Direct experience with OneTick implementations or operations.
• Exposure to cloud-native architectures (preferably AWS).
• Experience with workflow orchestration, monitoring, or alerting tools.
• Background in financial markets, trade surveillance, regulatory analytics, or quantitative data platforms.
• Experience working under security, regulatory, or data-privacy constraints.

Skills

• Python
• Linux/Unix environments
• Containerised environments
• Orchestrated environments
• Kubernetes
• Cloud-native architectures
• AWS
• Workflow orchestration
• Monitoring tools
• Alerting tools
• Data engineering
• Electronic trading systems
• Data capture applications
• Regulatory systems
• Compliance systems
• Enterprise web solutions

About the Company

• At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.
• We are not big on egos, but we’re not for the faint-hearted either
• Simply put – we turn big data problems into smart data solutions
• At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.
• This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Equal Opportunity

• Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.