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- Tasks: Architect scalable data solutions and design data pipelines for renewable energy software.
- Company: Leading renewable energy company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and strong professional growth opportunities.
- Why this job: Join a mission-driven team and make a real impact in the renewable energy sector.
- Qualifications: Over 5 years of data engineering experience, especially with Databricks.
- Other info: Mentor junior engineers and champion data quality in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading renewable energy company in the UK seeks a Senior Data Engineer to architect scalable data solutions for their asset performance management software. The ideal candidate will have over 5 years of data engineering experience, particularly with Databricks. This role entails designing data pipelines, mentoring junior engineers, and championing data quality and governance.
The company offers a competitive compensation package with numerous benefits, including flexible working hours and a strong focus on professional growth.
Senior Data Engineer Databricks Lakehouse Lead (Flexible) employer: RES Limited
Contact Detail:
RES Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer Databricks Lakehouse Lead (Flexible)
✨Tip Number 1
Network like a pro! Reach out to your connections in the renewable energy sector or 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 best data pipelines and projects, especially those involving Databricks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you’ve tackled issues related to data quality and governance in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer Databricks Lakehouse Lead (Flexible)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about renewable energy and how your expertise can help us build scalable data solutions. Keep it engaging and personal!
Showcase Your Mentoring Skills: Since this role involves mentoring junior engineers, share examples of how you've supported others in their growth. We love seeing candidates who are not just tech-savvy but also great team players!
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 updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at RES Limited
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be ready to discuss your experience with data pipelines and how you've used Databricks in past projects. Prepare specific examples that showcase your skills and how they align with the company's needs.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior engineers, think of instances where you've guided others. Be prepared to share your approach to mentoring and how you've helped team members grow. This will demonstrate your leadership potential and commitment to team development.
✨Emphasise Data Quality and Governance
The company is keen on data quality and governance, so come armed with examples of how you've championed these aspects in your previous roles. Discuss any frameworks or best practices you've implemented to ensure data integrity and compliance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. It’s a great way to engage with the interviewers and leave a lasting impression.
