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- Tasks: Develop and enhance data platforms while building reliable data pipelines.
- Company: A growing tech company in the UK with a focus on innovation.
- Benefits: Remote work, flexible hours, and opportunities for skill development.
- Why this job: Join a dynamic team and make a real impact on data systems.
- Qualifications: Strong Python programming skills and experience with modern data engineering tools.
- Other info: 6-month contract with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A growing tech company in the UK is seeking a Data Platform Engineer for a 6-month contract. The role involves developing and enhancing the data platform, building reliable data pipelines, and optimising cloud infrastructure such as Azure.
Candidates should have strong programming skills in Python and experience with modern data engineering tools. The position allows for remote work with a flexible work model, requiring adaptability and a passion for improving systems.
Remote Data Platform Engineer (6-Month Contract) in London employer: Expana
Contact Detail:
Expana Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Platform Engineer (6-Month Contract) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. 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 projects, especially those involving Python and data engineering tools. 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 data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or optimising cloud infrastructure – it’ll show your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Remote Data Platform Engineer (6-Month Contract) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with data engineering tools. We want to see how you can contribute to enhancing our data platform!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Platform Engineer role. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience and skills shine through without unnecessary fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Expana
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, especially Python and Azure. Brush up on your knowledge of data pipelines and cloud infrastructure, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data engineering problems in the past. Think about situations where you optimised systems or improved processes, and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Adaptability
Since the role requires flexibility, be prepared to discuss how you’ve adapted to changing requirements or technologies in previous roles. Highlight any experiences where you successfully navigated shifts in project scope or team dynamics.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or future projects, which will demonstrate your enthusiasm for contributing to their success.
