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- Tasks: Develop and maintain data platforms while mentoring client teams.
- Company: Made Tech, a leader in enabling data-driven public sector organisations.
- Benefits: Flexible working, 30 days paid leave, and mental health support.
- Other info: Great opportunity for career growth and skill development.
- Why this job: Join a supportive culture and make a real difference in the public sector.
- Qualifications: Experience with data, DevOps, and basic data system architecture knowledge.
The predicted salary is between 50000 - 65000 £ per year.
Made Tech is hiring a Data Engineer in Greater London to enable public sector organisations to embrace a data-driven approach. The role involves developing and maintaining data platforms, delivering engineering work, and upskilling client team members.
Candidates should have experience in working with data, DevOps methodologies, and a basic understanding of data system architectures.
The position offers a supportive culture with various benefits including:
- Flexible working options
- 30 days of paid annual leave
- Mental health support
Data Engineer – Remote Data Platforms & Mentoring employer: Made Tech
Contact Detail:
Made Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Remote Data Platforms & Mentoring
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Made Tech on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects. We love seeing real examples of your work, especially if they highlight your experience with data platforms and DevOps.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data engineering questions and scenarios. We want to see how you think on your feet and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are eager to help public sector organisations thrive with data.
We think you need these skills to ace Data Engineer – Remote Data Platforms & Mentoring
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and DevOps methodologies. We want to see how your skills align 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 data engineering and how you can help public sector organisations embrace a data-driven approach. Let us know what excites you about this opportunity!
Showcase Your Mentoring Skills: Since the role involves upskilling client team members, share any experiences you have in mentoring or training others. We love seeing candidates who are not just tech-savvy but also great at sharing their knowledge!
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 during the process!
How to prepare for a job interview at Made Tech
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills and be ready to discuss your experience with data platforms. Be prepared to explain how you've used DevOps methodologies in past projects, as this will show your understanding of the role.
✨Showcase Your Mentoring Skills
Since the role involves upskilling client team members, think of examples where you've successfully mentored others. Share specific instances where your guidance made a difference, as this will highlight your ability to support and develop others.
✨Understand the Public Sector Landscape
Familiarise yourself with the challenges and opportunities within the public sector regarding data usage. Being able to discuss how data-driven approaches can benefit these organisations will demonstrate your commitment and insight into the role.
✨Ask Thoughtful Questions
Prepare some insightful questions about the company culture, the team you'll be working with, and the specific data platforms they use. This shows your genuine interest in the position and helps you assess if it's the right fit for you.