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- Tasks: Modernise data platforms and build scalable data pipelines using Python.
- Company: Leading technology firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in data-driven projects.
- Qualifications: Strong Python and SQL skills, plus experience with cloud platforms.
- Other info: Work two days onsite in a vibrant, collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in the United Kingdom is seeking an experienced Python Data Engineer to modernize data platforms and build scalable solutions. This role involves developing data pipelines, performing data migrations, and ensuring data quality.
Key qualifications include:
- Strong Python and SQL skills
- Experience with systems integration
- Familiarity with cloud platforms
The position requires two days onsite work in a dynamic environment focused on data-driven innovation.
Python Data Engineer: Modernize Data Platforms & Pipelines employer: LTS Resourcing
Contact Detail:
LTS Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer: Modernize Data Platforms & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and SQL. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Python Data Engineer: Modernize Data Platforms & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with data pipelines and cloud platforms. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about modernising data platforms and how your experience makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know how you've tackled challenges and what solutions you've implemented.
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 the role. Plus, it’s super easy – just follow the prompts and let us see what you’ve got!
How to prepare for a job interview at LTS Resourcing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data pipelines and any specific libraries you've used, like Pandas or NumPy. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, ensure you're comfortable writing complex queries. You might be asked to solve a problem using SQL during the interview, so review your database knowledge and be prepared to explain your thought process as you work through it.
✨Familiarise Yourself with Cloud Platforms
The job mentions familiarity with cloud platforms, so do your homework on the ones relevant to the company. Whether it's AWS, Azure, or Google Cloud, understanding how to deploy data solutions in the cloud will give you an edge. Be ready to discuss any projects where you've used these technologies.
✨Show Your Passion for Data-Driven Innovation
This role is all about modernising data platforms, so convey your enthusiasm for data-driven innovation. Share examples of how you've contributed to similar projects in the past and how you stay updated with industry trends. This will show that you're not just qualified but genuinely interested in the field.
