Senior Data Engineer

Liquidnet
Belfast
8 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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.