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- Tasks: Build and optimise data pipelines while enhancing AWS infrastructure.
- Company: Leading global workforce management company with a collaborative culture.
- Benefits: Remote-first work, generous leave package, and continuous learning opportunities.
- Why this job: Join a dynamic team and make an impact in the world of data and AI/ML.
- Qualifications: Strong skills in SQL, Python, AWS, and excellent communication abilities.
- Other info: Flexible work environment that supports personal commitments.
The predicted salary is between 36000 - 60000 £ per year.
A leading global workforce management company is looking for a Data Engineer. You will build and optimize data pipelines, enhance AWS infrastructure, and design data tables.
The position offers remote first work with flexibility for personal commitments, a generous leave package, and a culture that emphasizes collaboration and continuous learning.
Ideal candidates will have strong skills in SQL, Python, and AWS services, coupled with exceptional communication abilities.
Senior Data Engineer — Data Mesh & AI/ML Pipelines employer: Safeguard Global
Contact Detail:
Safeguard Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Data Mesh & AI/ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in tech.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL, Python, and AWS knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer — Data Mesh & AI/ML Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and AWS in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your past experiences align with building and optimising data pipelines, as well as enhancing AWS infrastructure. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate good communication skills, so let your writing reflect that!
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!
How to prepare for a job interview at Safeguard Global
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and AWS skills before the interview. Be ready to discuss specific projects where you've built or optimised data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed data tables and enhanced infrastructure in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Emphasise Collaboration
Since the company values collaboration, think of examples where you've worked effectively in a team. Be ready to discuss how you communicate complex technical concepts to non-technical stakeholders, as this will demonstrate your exceptional communication abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data mesh strategy and AI/ML initiatives. This shows your genuine interest in the role and helps you understand how you can contribute to their goals while also aligning with their culture of continuous learning.
