Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer

Liquidnet
Belfast
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Role Overview

As a Senior Software Engineer at TP ICAP you will be part of a talented team delivering business critical software for the internal broking division and their external customer base.

You will work within an Agile environment, from design through to implementation, with a strong focus on Continuous Improvement whilst working collaboratively as part of self-organising, cross-functional team. There will be a focus on continuous integration and deployment.

Role Responsibilities

  • Work closely with the Architect/Principal to build solutions that align to the IT strategy/vision.
  • Provide support and mentoring to other members of the team.
  • Work in partnership with QA counterpart to ensure the delivery of quality software.
  • Promote delivery of quality software – unit tests, code reviews etc.
  • Experiment with multiple technologies and methodologies as part of delivery, to help guarantee the best solution and approach.
  • Deliver against both Functional and Non-functional requirements.
  • Take Ownership/Accountability for development of key features and drive to completion.
  • Communicate effectively on progress and ensure impediments are raised early to minimise impact on the delivery.

Experience / Competences

Essential

Minimum relevant industry experience – 4 Years

  • Experienced developer, with demonstrable experience of C# (.Net Core) 
  • Demonstrable experience of Typescript, React and GraphQL 
  • Detailed knowledge of Microsoft SQL technologies  
  • Experience of AWS technologies, specifically EKS and ElastiCache 
  • Degree or equivalent industry experience 
  • Experience of application testing, demonstrating the software meets the requirements 
  • Experience with either Continuous Build & Integration, Continuous Deployment or DevOps 
  • Financial Services, preferably including client onboarding experience. 

Desired

  • Experience of enterprise software development
  • Hands-on experience with web development, for example React, TypeScript, JavaScript, and CSS.
  • In-depth knowledge of AWS services.
  • Middleware experience on some messaging systems e.g. Solace, Tibco EMS, RabbitMQ, etc. 
  • Experience with containerization.
  • Experience with serverless architecture and microservices.
  • Knowledge of CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation).
  • Experience with TDD, BDD or similar approaches to specifying requirements and design.
  • Broad knowledge of financial markets, financial systems.

Band & Level – Manager, 6

#LI-Hybrid #LI-MID #LI-NIJOBS

Not The Perfect Fit?

Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. 

Location

UK - City Quays - Belfast

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.