At a Glance
- Tasks: Join our team to develop innovative Python solutions for global clients in capital markets.
- Company: Data Intellect, a leading data and technology consultancy with a collaborative culture.
- Benefits: Hybrid work model, training opportunities, and a chance to travel internationally.
- Other info: Inclusive environment with excellent career growth and learning opportunities.
- Why this job: Make an impact by solving complex problems and building expertise in a growing field.
- Qualifications: 3-5 years of Python experience and a passion for problem-solving.
The predicted salary is between 45000 - 55000 £ per year.
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 do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. \"We are not big on egos, but we're not for the faint-hearted either\" - Steve Turner, CEO Build expertise in a growing area We're looking for mid-level Python Engineers to join a growing area of our business at Data Intellect.
We have a number of exciting projects underway around One Tick, a specialist data platform used across global capital markets, and we're now adding to the team delivering this work.
We're looking for engineers who want to learn the product, build valuable expertise and help us deliver solutions for international investment banking and capital markets clients.
You don't need previous One Tick experience.
What we're looking for is around 3-5 years of strong Python experience, a broad understanding of data and software delivery, and the confidence to work with clients to solve complex technical problems.
You'll join a growing team, developing deep expertise in One Tick while helping us expand our capability and deliver increasingly complex projects for international clients.
The role is based in Belfast on a hybrid basis, with potential opportunities to travel to London and New York.
What you'll be doing You'll learn One Tick through structured training and hands-on client delivery, combining Python engineering, data analysis, product implementation and problem-solving.
You will: Implement, configure and evolve One Tick solutions within client environments Build Python applications, data pipelines and integrations Work directly with clients to understand requirements and translate complex problems into technical solutions Deliver robust, scalable and production-ready solutions Integrate One Tick into wider client data platforms and workflows Work on long-term international client engagements, building deep technical and domain knowledge Collaborate with engineering, product and client stakeholders Troubleshoot complex technical and production issues Share knowledge and reusable approaches as we build our internal One Tick capability Develop your expertise through hands-on delivery, training and certification Ideally, you'll have: Around 3-5 years' commercial Python experience across data engineering, or data-driven software development Hands-on experience with technologies such as Kubernetes, Apache Airflow and Pandas Strong knowledge of data engineering, software engineering and production delivery Experience building and delivering data-driven applications or solutions A solid understanding of the software development lifecycle, Agile delivery and modern engineering practices The ability to work proactively and autonomously Experience supporting production systems and solving complex technical issues Excellent communication skills and the confidence to work with both technical and client stakeholders Experience in capital markets, financial services or time-series data would be useful, but it is not essential.
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. #Challenge Accepted To be considered for this role you will be redirected to and must complete the application process on our careers page.
To start the process click the Apply button below to Login/Register.
TPBN1_NI
Python Engineer. New Product Team. in Lisburn employer: Data Intellect
At Data Intellect, we pride ourselves on fostering a collaborative and innovative work culture that values problem-solving and humility. As a Remote kdb+ Developer, you'll not only contribute to cutting-edge trade surveillance solutions but also benefit from mentorship opportunities and a supportive team environment that encourages personal and professional growth. Join us in a role where your contributions are valued, and you can make a meaningful impact in the financial technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer. New Product Team. in Lisburn
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Data Intellect or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Data Intellect.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Data Intellect.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Data Intellect that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Python Engineer. New Product Team. in Lisburn
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data Intellect.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Intellect and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Data Intellect
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data Intellect uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
