At a Glance
- Tasks: Join our Growth and Analytics team as a Python Engineer, transforming data into insights.
- Company: Work with a leading global book publisher, supporting A-list authors worldwide.
- Benefits: Enjoy hybrid work flexibility, strong mentorship, and a culture of innovation.
- Why this job: Perfect for early-career engineers eager to learn and impact the literary world.
- Qualifications: 1-3 years of Python experience required; familiarity with pandas and numpy is a plus.
- Other info: Salary up to £55,000 based on experience; office located in London SE1.
The predicted salary is between 33000 - 77000 £ per year.
We’re looking for a Python Engineer to work with one of the world’s largest book publishers, aiding the sale, marketing & distribution of A-list authors across the globe.
This position is In the Growth and Analytics team utilising huge quantities of data in order to better support authors and help them gain further exposure to their works, encompassing thousands of different books at one time – providing analysis throughout the supply chain, to marketing & sales for domestic markets in the UK, and further abroad internationally.
They’re passionate about transforming data into powerful insights that shape business strategy and are seeking an eager Python Developer to collaborate with key stakeholders across various teams, developing advanced data manipulation tools to unlock the potential of thousands of product datasets.
They value creativity, fresh ideas and are looking for people who have a voice, eager to bring new ideas and technology to the table. They offer strong mentorship to achieve your personal and career goals and an environment that encourages growth, innovation, and proactive thinking.
This role is great for:
Engineers early in their career that want access to a great learning culture and mentorship.
Engineers with a love for knowledge that want to help bring the ideas of well-regarded authors to the wider public.
Engineers with a strong desire to explore the potential and capabilities of AI as applied to data analysis & manipulation.
What we’re looking for:
1- 3 years’ experience working w/ Python (pandas, numpy etc)
Salary – Up to £55,000 dependent on experience.
Hybrid – Flexible 3 days in the office (London SE1 9SG)
If this looks like the one for you, please apply.
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Python Engineer employer: My Agency
Contact Detail:
My Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and libraries mentioned in the job description, such as pandas and numpy. Being able to discuss your experience with these tools during an interview will show that you're not only qualified but also genuinely interested in the role.
✨Tip Number 2
Research the company and its authors. Understanding their market and the types of books they publish can help you tailor your conversation and demonstrate your enthusiasm for contributing to their mission.
✨Tip Number 3
Prepare examples of how you've used data to drive insights or improve processes in previous roles. This will showcase your analytical skills and ability to work collaboratively with different teams, which is crucial for this position.
✨Tip Number 4
Show your eagerness to learn and grow by asking insightful questions about the mentorship opportunities and the company's approach to innovation. This will highlight your proactive mindset and fit within their culture.
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, particularly with libraries like pandas and numpy. Include specific projects or achievements that demonstrate your skills in data manipulation and analysis.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can transform business strategies. Mention your eagerness to collaborate with various teams and your interest in AI applications in data analysis.
Showcase Relevant Experience: If you have worked on projects involving data analytics or have experience in a similar role, be sure to detail this in your application. Use quantifiable results to illustrate your impact.
Demonstrate Creativity: Since the company values fresh ideas, include examples of how you've brought innovative solutions to past projects. This could be through new technologies or unique approaches to problem-solving.
How to prepare for a job interview at My Agency
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, particularly with libraries like pandas and numpy. Bring examples of projects where you've used these tools to manipulate data or solve problems, as this will demonstrate your technical proficiency.
✨Understand the Company’s Mission
Research the book publisher and their approach to data analytics in the context of marketing and distribution. Showing that you understand their goals and how your role as a Python Engineer fits into their strategy will impress the interviewers.
✨Emphasise Collaboration
Since the role involves working with various teams, highlight your ability to collaborate effectively. Share experiences where you’ve worked with stakeholders to develop solutions, as this aligns with their emphasis on teamwork and communication.
✨Demonstrate Your Passion for Learning
Express your eagerness to learn and grow within the role. Discuss any recent courses, workshops, or personal projects related to AI and data analysis, as this shows your commitment to professional development and aligns with their mentorship culture.