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- Tasks: Join a team to enhance customer acquisition through data engineering.
- Company: Progressive financial services company with a supportive culture.
- Benefits: Rich learning opportunities and a dynamic work environment.
- Why this job: Kickstart your career in tech while making a real impact on customer engagement.
- Qualifications: Proficiency in Python and SQL, with a passion for data.
- Other info: Entry-level position with great potential for growth.
The predicted salary is between 28800 - 48000 £ per year.
A progressive financial services company in London is looking for an entry-level engineer to focus on data engineering. You will work collaboratively with marketing and sales teams to enhance customer acquisition while ensuring adherence to data-privacy regulations.
Must have proficiency in Python and SQL, and a passion for working in a dynamic environment. The company offers a supportive culture and rich learning opportunities.
Backend Engineer - Data-Driven Python & SQL (Hybrid London) employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer - Data-Driven Python & SQL (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. You never know who might have a lead on that perfect entry-level position.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for backend engineers and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Backend Engineer - Data-Driven Python & SQL (Hybrid London)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you're excited about data engineering! Share any projects or experiences that highlight your love for Python and SQL. We want to see your enthusiasm shine through!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with the job description. We appreciate when candidates take the time to connect their background to what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We value clarity, so make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Iwoca
✨Know Your Python and SQL
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with these languages, and maybe even solve a coding challenge or two. Practising common data manipulation tasks can really help you stand out!
✨Understand Data Privacy Regulations
Since the role involves ensuring adherence to data-privacy regulations, it’s crucial to familiarise yourself with relevant laws and best practices. Being able to discuss how you would handle data responsibly will show that you’re serious about the role and understand its importance.
✨Collaborate and Communicate
This position requires working closely with marketing and sales teams, so be prepared to talk about your teamwork experiences. Think of examples where you successfully collaborated on projects, and highlight your communication skills. This will demonstrate that you can thrive in a dynamic environment.
✨Show Your Passion for Learning
The company values a supportive culture and rich learning opportunities, so express your enthusiasm for continuous learning. Share any recent courses, projects, or personal initiatives that showcase your commitment to growing your skills in data engineering and related fields.
