At a Glance
- Tasks: Lead the design and development of innovative Python solutions and data platforms.
- Company: Join a rapidly growing business in the exciting ETF sector.
- Benefits: Enjoy hybrid working, performance bonuses, and private healthcare.
- Other info: Great career progression in a dynamic, entrepreneurial environment.
- Why this job: Shape technology strategy while working with cutting-edge AI and financial data.
- Qualifications: Strong Python and PostgreSQL experience, plus leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Our client, an innovative and rapidly growing business within the Exchange Traded Funds (ETF) sector, is seeking an experienced Lead Python Developer to play a key role in shaping the future of their technology and data platforms. This is a rare opportunity to join a highly respected organisation operating at the intersection of technology, data and financial markets. You'll lead the design and delivery of business-critical solutions while working closely with senior stakeholders across the organisation.
Key Responsibilities:
- Leading the design and development of scalable data platforms and applications
- Building and optimising Python-based solutions and automation tools
- Developing and maintaining PostgreSQL databases and data models
- Delivering Azure Data Factory and Microsoft Data Flow solutions
- Creating insightful Power BI dashboards and reporting capabilities
- Driving technical best practice across development teams
- Mentoring developers and providing technical leadership
- Collaborating with business stakeholders to deliver innovative technology solutions
- Supporting the adoption of AI technologies including Microsoft Copilot and other productivity tools
- Integrating financial and market data into internal systems and reporting platforms
Job Requirements:
- Proven experience in a Lead Developer, Technical Lead or Principal Developer role
- Strong Python development experience
- Expert-level PostgreSQL knowledge
- Azure Data Factory experience
- Strong Power BI capabilities
- Experience building data pipelines and reporting solutions
- Strong stakeholder management and Business Analysis skills
- SharePoint experience
- Financial Services, Asset Management, ETF, FinTech or Capital Markets experience
- Passion for technology and innovation
Benefits:
- Performance bonus
- Hybrid working
- Pension contribution
- Private healthcare
- Generous holiday allowance
- Exposure to cutting-edge AI technologies
- Opportunity to shape technology strategy
- High-growth, entrepreneurial environment
- Significant career progression opportunities
If you're looking to combine technical leadership, data engineering and financial technology within a growing specialist investment business, we would love to hear from you. Apply now to join our client's forward-thinking team.
Lead Python Developer in London employer: Infosec
As a Python Programmer/Developer at our innovative tech hub, you'll thrive in a dynamic work culture that fosters creativity and collaboration. We offer competitive benefits, continuous learning opportunities, and a supportive environment that encourages professional growth, making it an ideal place for those seeking meaningful and rewarding employment in the heart of the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Python Developer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Infosec!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Infosec.
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We think you need these skills to ace Lead Python Developer 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Infosec, 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 Infosec. 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 Infosec
✨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
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 Infosec!
✨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.
