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- Tasks: Build scalable data pipelines and integrate datasets using Python or TypeScript.
- Company: Dynamic tech company in the UK with a pioneering team.
- Benefits: Competitive salary up to £90,000 plus benefits and hybrid work.
- Why this job: Join a transformative project and make a real impact in data technology.
- Qualifications: Strong programming skills in Python or TypeScript required.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 54000 - 72000 £ per year.
A dynamic technology company in the United Kingdom is seeking a Software Engineer to join their pioneering team. This hybrid position requires strong programming skills, particularly in Python or TypeScript.
The successful candidate will:
- Clean and integrate datasets
- Design scalable databases
- Help develop automated data pipelines
This role offers a unique opportunity to contribute to a transformative data platform, with a competitive salary of up to £90,000 plus benefits.
Software Engineer: Build Scalable Data Pipelines (Hybrid, London) employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer: Build Scalable Data Pipelines (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with industry professionals on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python or TypeScript skills. We recommend working on real-world projects or coding challenges that showcase your ability to build scalable data pipelines.
✨Tip Number 3
Don’t just focus on the job description; think about how you can add value to the team. Be ready to discuss how your experience in cleaning and integrating datasets can contribute to their transformative data platform.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Software Engineer: Build Scalable Data Pipelines (Hybrid, London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills, especially in Python or TypeScript. We want to see how you can clean and integrate datasets, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects where you've designed scalable databases or developed automated data pipelines. This helps us see how you fit into our pioneering team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our dynamic team in London.
How to prepare for a job interview at Formula Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python and TypeScript, as these are key for the role. Brush up on your programming skills and be ready to discuss specific projects where you've used these languages to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to cleaning and integrating datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues.
✨Understand Data Pipeline Concepts
Familiarise yourself with the principles of designing scalable databases and automated data pipelines. Be ready to explain your approach to building these systems and any tools or frameworks you’ve used in the past.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data platform. Inquire about their current challenges or future projects, which will demonstrate your enthusiasm and proactive mindset.
