At a Glance
- Tasks: Join our New Product Team to develop innovative Python solutions and tackle complex data challenges.
- Company: Data Intellect, a leading consultancy in data and technology solutions.
- Benefits: Competitive salary, inclusive culture, training opportunities, and hands-on client engagement.
- Other info: Dynamic work environment with opportunities for growth in various industries.
- Why this job: Make a real impact by solving big data problems with cutting-edge technology.
- Qualifications: 3-5 years of Python experience and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ 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.
What you’ll be doing:
- You’ll learn OneTick through structured training and hands‑on client delivery, combining Python engineering, data analysis, product implementation and problem‑solving.
- Implement, configure and evolve OneTick 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 OneTick 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 OneTick capability.
- Develop your expertise through hands‑on delivery, training and certification.
Qualifications:
- Around 3–5 years’ commercial Python experience across data engineering, data science 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.
Additional Information:
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.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer. New Product Team.
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We think you need these skills to ace Python Engineer. New Product Team.
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Data Intellect, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Data Intellect
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
