UK Renewable Energy Data Engineer

UK Renewable Energy Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Taylor Hopkinson | Powered by Brunel

At a Glance

  • Tasks: Design and manage data pipelines while optimising database architecture.
  • Company: Join a leading renewable energy firm making a global impact.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Be part of the green revolution and shape the future of energy.
  • Qualifications: Experience with Databricks, Azure, Power BI, and Python required.
  • Other info: Collaborative environment with a focus on innovation and sustainability.

The predicted salary is between 36000 - 60000 £ per year.

Taylor Hopkinson are proudly engaged with our internationally industry-leading client, who are searching for a Data Engineer to join the team, to be based in London.

Role

  • Design, build, and manage end-to-end data pipelines
  • Organise and optimise overall database architecture
  • Integrate and manage multiple data sources into a cloud environment
  • Develop and maintain structured data tables and data models
  • Support dashboard and reporting requirements
  • Collaborate with stakeholders and take ownership of data initiatives

Requirements

  • Strong and up to date experience with Databricks
  • Microsoft Azure Cloud Storage
  • Experience creating dashboards in Power BI
  • Advanced proficiency in Python
  • Experience building and managing ELT workflows
  • Open to working on a hybrid basis in central London

UK Renewable Energy Data Engineer employer: Taylor Hopkinson | Powered by Brunel

At Taylor Hopkinson, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the renewable energy sector. Our London-based team enjoys flexible hybrid working arrangements, comprehensive professional development opportunities, and a commitment to sustainability that empowers employees to make a meaningful impact in their careers. Join us to be part of a forward-thinking organisation that values your contributions and supports your growth in a thriving industry.
Taylor Hopkinson | Powered by Brunel

Contact Detail:

Taylor Hopkinson | Powered by Brunel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land UK Renewable Energy Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the renewable energy sector on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, and any cool projects you've worked on. We love seeing real examples of what you can do!

✨Tip Number 3

Prepare for those interviews! Brush up on your technical skills, especially in Databricks and Azure. We recommend practising common interview questions related to data engineering to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you land that dream job in renewable energy!

We think you need these skills to ace UK Renewable Energy Data Engineer

Data Pipeline Design
Database Architecture Optimisation
Cloud Data Integration
Structured Data Tables Development
Data Modelling
Dashboard Creation
Reporting Requirements Support
Stakeholder Collaboration
Databricks
Microsoft Azure Cloud Storage
Power BI
Python
ELT Workflow Management
Hybrid Work Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure Cloud Storage, and Python. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about renewable energy and how your background makes you the perfect fit for our Data Engineer role. Keep it engaging and personal.

Showcase Your Projects: If you've worked on any cool data pipelines or dashboards, make sure to mention them! We love seeing real examples of your work, especially if they relate to the responsibilities listed in the job description.

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 from our team!

How to prepare for a job interview at Taylor Hopkinson | Powered by Brunel

✨Know Your Tech Stack

Make sure you’re well-versed in Databricks, Microsoft Azure Cloud Storage, and Python. Brush up on your knowledge of ELT workflows and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.

✨Showcase Your Data Pipeline Skills

Prepare to talk about your experience designing and managing end-to-end data pipelines. Have specific examples ready that highlight your problem-solving skills and how you’ve optimised database architecture in previous roles. This will demonstrate your hands-on experience and ability to take ownership of data initiatives.

✨Dashboards and Reporting Know-How

Since the role involves supporting dashboard and reporting requirements, be ready to discuss your experience with Power BI. Bring examples of dashboards you’ve created and explain the impact they had on decision-making. This will illustrate your ability to translate data into actionable insights.

✨Collaboration is Key

Emphasise your ability to collaborate with stakeholders. Prepare to share instances where you’ve worked with different teams to achieve a common goal. This will highlight your communication skills and show that you can work effectively in a hybrid environment.

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>