At a Glance
- Tasks: Design and build complete data systems using Python and cloud technologies.
- Company: Innovative investment management firm in Central London with a dynamic culture.
- Benefits: Competitive salary, bonus, hybrid work, and excellent benefits package.
- Other info: Opportunity for career growth in a collaborative, entrepreneurial environment.
- Why this job: Make a real impact by owning technical solutions from concept to production.
- Qualifications: Experience in software development, Python, SQL, and cloud systems.
The predicted salary is between 63000 - 77000 £ per year.
We're working with an established, innovative investment management firm in Central London seeking a talented Data & AI Engineer with a strong software engineering mindset and proven experience designing, building and deploying complete technical solutions.
We're looking for someone who understands how to build an entire system — not simply develop data pipelines or add functionality to existing platforms. This is a hands-on engineering opportunity for someone passionate about programming, system architecture, cloud technology and applied AI, who enjoys taking ownership of solutions from initial concept through to production.
The Opportunity for Data & AI Engineer (Python / Cloud Systems):
- You'll develop and enhance the firm's internal technology platforms, working across software development, data infrastructure, cloud architecture and automation.
Key responsibilities include:
- Designing, building and deploying complete software and data systems, from initial architecture through to production.
- Developing backend applications, REST APIs, databases and data pipelines using Python and SQL.
- Building and integrating systems with third-party APIs, legacy platforms and external data sources.
- Working with cloud infrastructure, including architecture, secure deployment, access controls and system reliability.
- Developing and improving internal applications, automated workflows and data processing solutions.
- Building and enhancing practical AI and LLM-powered tools for document processing, reporting and business automation.
What We're Looking For:
- Strong commercial experience developing software and data solutions using Python and SQL.
- Demonstrable experience designing and delivering at least one complete new system, from architecture and development through to deployment and production use.
- Experience establishing and deploying cloud-hosted solutions, with an understanding of infrastructure design, security and ongoing maintenance.
- Experience with databases, APIs, integrations and capturing or processing structured and unstructured data.
- Sound software engineering fundamentals, including system design, maintainable code, Git, testing and deployment practices.
- The ability to understand a business problem, design an effective technical solution and take ownership of its delivery.
- Above all, genuine enthusiasm for engineering, intellectual curiosity and a proactive, independent approach to problem-solving.
Desirable, Not Essential:
- Experience with Azure, PostgreSQL, FastAPI, Docker, CI/CD, ETL pipelines, GitHub Actions, AI/LLM APIs or machine learning.
- Previous financial services experience is not required.
- We're far more interested in what you've personally designed, built and delivered.
Why Join?
This is an opportunity to work in a smaller, entrepreneurial environment where your technical decisions have a direct impact. You'll have the freedom to work across complete systems, contribute to architectural decisions and develop innovative solutions using modern software, cloud and AI technologies. Our client particularly values engineers who enjoy taking responsibility, solving unfamiliar problems and building technology properly.
If you've built and delivered complete technical solutions and enjoy the challenge of owning systems end to end, we'd love to hear from you.
Data Engineer + AI Engineering (Python & Cloud Systems) in London employer: Intec Select
Join a forward-thinking company in London that prioritises employee well-being and professional growth. With an impressive benefits package including 39 days of annual leave, flexible working arrangements, and a generous pension scheme, we foster a collaborative work culture where your contributions are valued. As a Senior Manager in Agile Project Management, you'll have the opportunity to lead transformative projects while developing your skills in a supportive environment that encourages innovation and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer + AI Engineering (Python & Cloud Systems) in London
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We think you need these skills to ace Data Engineer + AI Engineering (Python & Cloud Systems) in London
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 Intec Select, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Intec Select. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Intec Select
✨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!
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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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Intec Select!
✨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.