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For Companies At a Glance
- Tasks: Lead a dynamic team in designing and optimising data pipelines.
- Company: Join a large company focused on maintaining critical infrastructure for reliable energy supply.
- Benefits: Enjoy a hybrid work model with flexibility to work from home.
- Why this job: Be part of a successful team making a real impact on energy reliability.
- Qualifications: Proven experience in team management, AWS, SQL, and Python required.
- Other info: This role offers a competitive salary between £70,000 - £80,000.
The predicted salary is between 56000 - 84000 £ per year.
We are representing a large company operating across Scotland and the south of England, that concentrates on the maintenance and upgrade of critical infrastructure to ensure reliable energy supply. They are looking for a Data Engineering Manager to head up their successful, dynamic team.
As the Data Engineering Manager, you will own the data engineering strategy and roadmap, design and architect data pipelines, and manage and optimise the data platform.
- Proven experience in managing teams, providing technical guidance and coaching
- Experience developing the Data strategy, vision, and control budgets
- Experience with AWS, SQL, and Python
Locations
Senior Data Engineer - Hybrid employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around AWS, SQL, and Python. Being able to discuss recent developments or tools in these areas during your interview can really set you apart.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams in the past. Think about specific challenges you faced and how you guided your team to overcome them.
✨Tip Number 3
Research the company’s current data strategy and any recent projects they’ve undertaken. This will not only help you understand their needs but also allow you to suggest how you could contribute to their goals.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable for tailoring your approach during the interview.
We think you need these skills to ace Senior Data Engineer - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS, SQL, and Python. Emphasise any leadership roles or team management experience to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your vision for leading a team. Mention specific projects where you've successfully implemented data strategies or optimised data platforms.
Showcase Technical Skills: In your application, clearly outline your technical skills and experiences. Provide examples of how you've designed data pipelines or managed data platforms, as this will demonstrate your capability for the role.
Highlight Leadership Experience: Since the role involves managing a team, be sure to include examples of your leadership experience. Discuss how you've provided technical guidance and coaching to team members in previous positions.
How to prepare for a job interview at TRIA
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be managing a team. Be prepared to discuss your previous leadership experiences, how you've guided teams, and the impact of your coaching on their performance.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with AWS, SQL, and Python. Prepare specific examples of projects where you utilised these technologies, focusing on the challenges you faced and how you overcame them.
✨Discuss Data Strategy Development
Since the role involves owning the data engineering strategy, be ready to talk about your approach to developing a data strategy. Share insights on how you've aligned data initiatives with business goals in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to optimise data platforms or design data pipelines under tight deadlines, and be ready to explain your thought process.
