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- Tasks: Design and build scalable data platforms in the cloud.
- Company: Leading company in data engineering with a focus on innovation.
- Benefits: Competitive salary, car allowance, and flexible hybrid working.
- Why this job: Join a dynamic team and lead impactful data projects.
- Qualifications: Extensive experience in large-scale data engineering.
- Other info: Frequent travel to Banbury required for collaboration.
The predicted salary is between 52000 - 78000 £ per year.
Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.
£65-75K + car allowance
Flexible Location | Hybrid working with frequent travel to Banbury required
If large-scale data engineering isn’t central to what you do now, this probably isn’t for you and that’s intentional.
This role is for a senior, hands-on data engineer whose day-to-day work revolves around designing, building and scaling production-grade data platforms in the cloud.
Lead Data Engineer in Adderbury employer: Bibby Financial Services
Contact Detail:
Bibby Financial Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Adderbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data engineering. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud platforms and large-scale data solutions, as these are key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Data Engineer in Adderbury
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, make sure to read through the job description thoroughly. We want to see that you understand what’s expected of you as a Lead Data Engineer, so take note of the key responsibilities and requirements.
Showcase Your Experience: When writing your application, highlight your experience with large-scale data engineering. We’re looking for someone who has hands-on experience in designing and building data platforms, so make sure to include relevant projects or roles that demonstrate your skills.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your background aligns with our needs. Use keywords from the job description to show us you’re a perfect fit for the role.
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 position. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Bibby Financial Services
✨Know Your Data Engineering Inside Out
Make sure you’re well-versed in large-scale data engineering concepts. Brush up on your experience with designing and building production-grade data platforms, especially in cloud environments. Be ready to discuss specific projects where you’ve successfully implemented these skills.
✨Showcase Your Hands-On Experience
This role is all about being hands-on, so prepare to share detailed examples of your work. Think about the challenges you faced while scaling data platforms and how you overcame them. Highlight your technical skills and any tools or technologies you’ve used that are relevant to the job.
✨Understand the Company’s Data Needs
Research the company’s current data infrastructure and any recent projects they’ve undertaken. This will help you tailor your answers to show how your skills can directly benefit their operations. It also demonstrates your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on key data engineering principles, algorithms, and best practices. Practising coding problems or system design scenarios can also give you an edge, showing that you can think critically under pressure.
