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- Tasks: Lead data engineering projects and collaborate with teams to enhance data platforms.
- Company: Top comparison platform in the UK with a focus on innovation.
- Benefits: Generous leave policy, mental health support, and flexible hybrid work.
- Why this job: Join a dynamic team and make a significant impact in data engineering.
- Qualifications: Experience in SQL and Python, with strong collaboration skills.
- Other info: Great opportunities for professional growth in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading comparison platform in the UK is seeking a Staff Software Engineer specializing in data. The role involves collaborating with engineering teams, utilizing modern data architectures, and providing technical leadership.
Ideal candidates will have proven experience in SQL and Python, and will thrive in a hybrid work environment that promotes flexibility and professional growth.
The company offers extensive benefits including a generous leave policy and support for mental health.
Staff Data Engineer — Hybrid, Observability & Platforms in Cardiff employer: Confused.com
Contact Detail:
Confused.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer — Hybrid, Observability & Platforms in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your SQL and Python projects. This is your chance to demonstrate your technical prowess beyond the CV.
✨Tip Number 3
Ace the interview by preparing for common questions related to data engineering. Think about how you can discuss your experience with modern data architectures and how you’ve led teams in the past.
✨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 Staff Data Engineer — Hybrid, Observability & Platforms in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills we're looking for. Customising your CV to reflect the job description will show us that you’re a great fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the Staff Data Engineer position. Share specific examples of how you've collaborated with engineering teams and led projects in the past.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked with modern data architectures, give us a brief overview of your experience and any relevant projects you’ve completed.
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 during the process.
How to prepare for a job interview at Confused.com
✨Know Your Data
Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Company’s Tech Stack
Research the modern data architectures that the company uses. Familiarise yourself with their approach to observability and platforms, so you can speak knowledgeably about how your experience aligns with their needs.
✨Showcase Collaboration Skills
Since the role involves working with engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight your ability to lead technical discussions and mentor others, as this will demonstrate your leadership potential.
✨Emphasise Flexibility and Growth Mindset
The company values a hybrid work environment that promotes professional growth. Share your experiences in adapting to different work settings and how you’ve pursued continuous learning in your career.
