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- Tasks: Build and maintain secure data pipelines using Databricks and Azure for clean energy projects.
- Company: Join a leading client revolutionising green technologies and driving a zero-carbon future.
- Benefits: Enjoy hybrid work, competitive salary, and a robust benefits package.
- Why this job: Make a real impact in clean energy while collaborating with innovative professionals.
- Qualifications: 18 months of Databricks experience, expertise in Azure Data Lake, Python, and CI/CD pipelines required.
- Other info: Opportunity to work on cutting-edge technologies in a purpose-driven environment.
The predicted salary is between 60000 - 70000 £ per year.
Location: South East England (Hybrid - 1 day onsite per week)
Salary: £60k - £70k + benefits package
18 months. That’s all the time it took for the client’s Databricks platform to evolve into a key driver of innovative green technologies. Now, they’re looking for someone to take it even further.
Imagine joining a forward-thinking client at the forefront of clean energy innovation. Your work will directly contribute to a zero-carbon future by supporting advancements in electrolysis for green hydrogen production and fuel cells for future power solutions. Through powerful partnerships with major multinational companies, the client’s solid oxide platform is transforming energy systems and helping decarbonise emissions-heavy industries like steelmaking and future fuels.
What’s the Role?
You’ll join a highly skilled data team, part of a broader department focused on modelling and digitalisation. This team develops and maintains a cutting-edge Azure Databricks Data Lakehouse platform to support all core business functions. Your primary goal will be building and maintaining robust, secure data pipelines and models that deliver trusted datasets to internal and external stakeholders, enabling data-driven decisions across the organisation.
As a Data Engineer, you will maintain, monitor, and enhance the Databricks platform that powers the client’s data services. You’ll work on building robust pipelines using Azure Data Lake and Python while collaborating closely with data scientists, simulation engineers, and the wider business.
Reporting to the Head of Data Management, you’ll be a part of a collaborative team focused on data governance, engineering, and strategy. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.
Why Join?
- IMPACTFUL WORK: Help revolutionise electrolyzer technology, accelerating clean hydrogen production and decarbonisation on a global scale.
- SEE RESULTS QUICKLY: Your work will directly influence live projects, delivering measurable results in real-world applications.
- CULTURE OF INNOVATION: Collaborate with forward-thinking professionals in an environment where experimentation and creativity are encouraged.
- SECURE GROWTH: Join a financially robust organisation investing heavily in cutting-edge technologies and talent development.
- PURPOSE-DRIVEN MISSION: Be part of a team dedicated to advancing green technologies and creating a sustainable future.
What You Can Add
We’re looking for someone who thrives on solving complex problems and working in fast-paced environments. Here’s what you’ll need:
- 18 months or more of Databricks experience, with a strong background in managing and maintaining data services on the platform.
- Expertise in Azure Data Lake, Python, and CI/CD pipelines using Azure DevOps.
- Practical experience in industries like manufacturing, product development, or automotive, with a focus on real-world applications.
- Familiarity with data modelling, governance, and digitisation.
- Bonus: Knowledge of Unity Catalog in Databricks.
Ready to shape the future of clean energy? Apply now to join our client as a Data Engineer and help drive the green energy revolution.
Data Engineer (Databricks & Azure) - Clean Energy (South East) employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Databricks & Azure) - Clean Energy (South East)
✨Tip Number 1
Familiarise yourself with the latest advancements in clean energy technologies, particularly in electrolysis and hydrogen production. This knowledge will not only help you understand the role better but also demonstrate your genuine interest in the field during discussions.
✨Tip Number 2
Network with professionals in the clean energy sector, especially those working with Databricks and Azure. Attend industry events or webinars to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you've successfully built data pipelines or worked with Azure Data Lake. Be ready to discuss these experiences in detail during interviews to highlight your practical expertise.
✨Tip Number 4
Research the company's mission and values related to sustainability and innovation. Tailor your conversations to reflect how your personal values align with theirs, which can make a strong impression on the hiring team.
We think you need these skills to ace Data Engineer (Databricks & Azure) - Clean Energy (South East)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure Data Lake, and Python. Use specific examples from your past roles that demonstrate your ability to build and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for clean energy and how your skills align with the company's mission. Mention any relevant projects or experiences that showcase your problem-solving abilities in fast-paced environments.
Showcase Relevant Experience: When detailing your work history, focus on your practical experience in industries like manufacturing or automotive. Highlight any achievements related to data governance, engineering, or digitisation that would be relevant to the role.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Data Science Talent
✨Showcase Your Databricks Expertise
Be prepared to discuss your hands-on experience with Databricks. Highlight specific projects where you've built or maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Azure Data Lake
Since this role requires expertise in Azure Data Lake, make sure to brush up on its features and functionalities. Be ready to discuss how you've used it in past projects, particularly in relation to data governance and security.
✨Emphasise Problem-Solving Skills
The client is looking for someone who thrives on solving complex problems. Prepare examples from your previous work where you identified a problem, implemented a solution, and the impact it had on the project or team.
✨Align with Their Purpose-Driven Mission
Research the company's commitment to clean energy and sustainability. During the interview, express your passion for green technologies and how your skills can contribute to their mission of decarbonisation and innovation.
