Job Description

We are seeking a OneTick Implementation Engineer to implement, deploy, and operate high‑performance analytics and surveillance solutions for clients. The role sits at the intersection of platform engineering, data workflows, and client delivery , supporting both cloud‑hosted and customer‑managed environments.

You will work on technically demanding projects for financial institutions, market infrastructure providers, regulators, and quantitative trading firms , collaborating closely with internal product teams and external client stakeholders. Most implementations are cloud‑based, with increasing use of containerised and orchestrated environments.

Key Responsibilities

Platform Implementation & Operations

• 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

Data Pipelines & Workflows

• 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

Client‑Specific Delivery

• 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

Monitoring & Support

• 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

Collaboration & Delivery

• 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

Qualifications

• 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

Advantageous

• 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

Additional Information

A little background on DI

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.

Fair employment and equal opportunities

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.

Welcome to Data Intellect.

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