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- Tasks: Drive data platform development and enhance Foundry solutions in a collaborative environment.
- Company: Join a well-established business leading digital transformation in London.
- Benefits: Enjoy a competitive salary, health care, gym membership, and professional development opportunities.
- Why this job: Be at the forefront of AI-ready pipelines and make a real impact on data solutions.
- Qualifications: Strong knowledge of data pipelines, AWS, Azure, Python, and SQL required.
The predicted salary is between 75000 - 90000 £ per year.
Peaple Talent seeks an experienced Data Engineer to support digital transformation within a well-established business. This London-based role involves driving data platform development, enhancing Foundry solutions, and collaborating across teams.
The ideal candidate has strong knowledge of data pipelines, AWS and Azure, and hands-on experience with Python and SQL.
The position offers a salary of £75,000-£90,000 with benefits like health care, gym membership, and opportunities for professional development.
Hybrid Data Engineer (Foundry) — AI-ready Pipelines employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer (Foundry) — AI-ready Pipelines
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, and any cool stuff you've built using Python and SQL. This will give you an edge and make you stand out during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your AWS and Azure knowledge, and practice coding challenges related to data engineering. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Engineer (Foundry) — AI-ready Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, AWS, Azure, Python, and SQL. We want to see how your skills match the job description, 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 excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just listing duties. We want to know how you’ve made an impact in previous roles, especially in driving data platform development or enhancing solutions.
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 a few clicks and you’re done!
How to prepare for a job interview at Peaple Talent
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines. Be ready to discuss your experience with building and optimising them, especially in relation to AWS and Azure. Prepare specific examples of projects where you've successfully implemented these technologies.
✨Show Off Your Python and SQL Skills
Since hands-on experience with Python and SQL is crucial for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while working on a data-related task. Practise common coding challenges beforehand!
✨Collaboration is Key
This role involves working across teams, so be ready to talk about your collaboration experiences. Think of examples where you’ve worked with different departments or stakeholders to achieve a common goal. Highlight your communication skills and how you handle feedback.
✨Understand the Business Context
Familiarise yourself with the company’s digital transformation goals and how your role as a Data Engineer fits into that picture. Showing that you understand the bigger picture will impress the interviewers and demonstrate your commitment to contributing to their success.