At a Glance
- Tasks: Own and enhance a data pipeline, transforming purchase data into actionable insights.
- Company: Join a well-established product and engineering team in London.
- Benefits: Earn up to £650/day, with hybrid work options and potential for contract extension.
- Other info: Flexible remote options available; great opportunity for career growth.
- Why this job: Make a real impact on business decisions through data while working with experienced engineers.
- Qualifications: Experience in backend development, particularly with Python and data pipelines.
We are looking for a Backend Engineer to join an established product and engineering team on an initial 3 month contract, with scope to extend.
You will take ownership of the extension, improvement and maintenance of a data pipeline that extracts and transforms purchase data into structured, actionable information. You may also be asked to support the creation of new data feeds and maintenance of existing ones for commercial partners, delivering data that drives key business decisions. You will work closely with a Staff Backend Engineer and Head of Engineering.
- Up to £650/day
- Outside IR35
- Hybrid (2 days/week)
- ~£600/day for fully remote candidates
- ~3 month initial contract, subject to extension
Backend Developer Python in City of London employer: Formula.
Join a dynamic and innovative team in London as a Backend Developer, where you will have the opportunity to work on impactful projects that drive key business decisions. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures you will have access to continuous learning and development opportunities. With competitive rates and a supportive environment, we are dedicated to making your experience both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Developer Python in City of London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Formula. before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Formula..
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Formula..
We think you need these skills to ace Backend Developer Python in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Formula., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Formula., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Formula.’s attention and show the tangible impact of your work.
How to prepare for a job interview at Formula.
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Formula..
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Formula..
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Formula..
