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- Tasks: Design and optimise data pipelines using Databricks for renewable energy analytics.
- Company: Join the world's largest independent renewable energy company.
- Benefits: Flexible working, private healthcare, 25 days holiday, and volunteering opportunities.
- Why this job: Make a real impact in the renewable energy sector while growing your skills.
- Qualifications: Strong Python and SQL skills, experience with Databricks and cloud platforms.
- Other info: Dynamic team environment with a focus on personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled Data Engineer with expertise in Databricks to join our asset performance management software team, within our Digital Solutions business. Working with other data engineers and our platform team, you will be responsible for designing, building, and optimizing scalable data pipelines using the Databricks platform. This role is ideal for someone passionate about big data technologies, cloud platforms, and enabling data-driven analytics and ML to report and improve on the performance of renewable assets.
Responsibilities
- Design, develop, and maintain robust data pipelines using DLT on Databricks.
- Collaborate with software engineers, data scientists, and platform engineers to understand data requirements and deliver high-quality solutions.
- Implement ETL/ELT processes to ingest, transform, and store data from various sources (structured and unstructured).
- Optimize performance and cost-efficiency of data workflows on Databricks.
- Ensure data quality, integrity, and governance through validation, monitoring, and documentation.
- Develop reusable components and frameworks to accelerate data engineering efforts.
- Support CI/CD practices and automation for data pipeline deployment.
- Stay current with Databricks features and best practices, and advocate for their adoption.
- Solid understanding of data modelling, warehousing concepts, and distributed computing.
- Familiarity with Delta Lake and Unity Catalog.
- Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA).
Qualifications
- Strong programming skills in Python and SQL.
- Experience with version control (e.g., Git) and CI/CD tools.
- Excellent problem-solving and communication skills, both written and oral, with proven experience as a Data Engineer with hands-on expertise in Databricks and DLT.
- Experience with cloud data platforms, ideally Azure but experience with AWS or Google would be an advantage.
- Exposure to machine learning workflows and integration with ML models.
- Delivering results working in a distributed, cross-functional team.
- Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
We are the world’s largest independent renewable energy company. We are driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they’re at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. Please note this position is a 24 month fixed term contract.
Data Engineer 24 Month Fixed Term Contract employer: RES Limited
Contact Detail:
RES Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer 24 Month Fixed Term Contract
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Databricks and data pipelines. Share it on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your past projects. Remember, it’s not just about the right answers but also how you communicate your thought process.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission for renewable energy.
We think you need these skills to ace Data Engineer 24 Month Fixed Term Contract
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 tell us why you’re passionate about data engineering and renewable energy. Share your enthusiasm for big data technologies and how you can contribute to our mission at StudySmarter.
Showcase Your Technical Skills: We’re looking for strong programming skills in Python and SQL, so make sure to mention any relevant projects or experiences. If you’ve worked with cloud platforms like Azure, AWS, or Google, let us know!
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the best way to ensure we see your application and can get back to you quickly!
How to prepare for a job interview at RES Limited
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be prepared to discuss how you've used it in past projects, especially focusing on DLT and ETL/ELT processes. Showing that you can optimise data workflows will definitely impress.
✨Showcase Your Collaboration Skills
Since this role involves working closely with software engineers and data scientists, be ready to share examples of how you've successfully collaborated in cross-functional teams. Highlight any specific projects where teamwork led to better data solutions.
✨Demonstrate Problem-Solving Prowess
Prepare to tackle some technical questions or case studies during the interview. Think about challenges you've faced in data engineering and how you resolved them. This is your chance to shine a light on your analytical skills and creativity.
✨Stay Current with Industry Trends
Familiarise yourself with the latest features and best practices in Databricks and cloud platforms like Azure. Being able to discuss recent developments shows your passion for the field and your commitment to continuous learning.
