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- Tasks: Design and maintain scalable data pipelines for renewable energy assets.
- Company: Established renewable energy and digital solutions business with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work on impactful projects.
- Why this job: Make a real difference in renewable energy while developing your technical skills.
- Qualifications: Experience with APM platforms, strong Python and SQL skills required.
- Other info: Join a dynamic team with a strong engineering culture and long-term stability.
The predicted salary is between 36000 - 60000 £ per year.
An established renewable energy and digital solutions business is expanding its Asset Performance Management (APM) technology team and is hiring an experienced Data Engineer to support large-scale operational renewable assets. This role sits within a product-focused engineering group responsible for building and scaling data platforms used to monitor, optimise, and improve the performance of wind, solar, and energy storage assets globally. You will work closely with software engineers, data scientists, and platform teams to design and operate high-quality data pipelines that directly underpin operational decision-making and analytics for live energy assets.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks (including Delta Live Tables).
- Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems.
- Optimise pipeline performance, reliability, and cost efficiency in cloud environments.
- Ensure data quality, lineage, governance, and documentation across production systems.
- Collaborate cross-functionally with analytics, product, and platform teams.
- Support CI/CD automation for data pipeline deployment.
- Contribute to reusable frameworks and engineering best practices within the team.
Essential Experience
Candidates must have prior, hands-on experience working with at least one of the following APM platforms: Power Factors, Bazefield, GPM. This experience is critical, as the role involves working directly with data models, integrations, and operational outputs from these platforms.
Technical Requirements
- Proven experience as a Data Engineer in production environments.
- Strong Python and SQL skills.
- Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable).
- Solid understanding of data modelling, data warehousing, and distributed systems.
- Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable).
- Familiarity with Git-based workflows and CI/CD pipelines.
- Exposure to analytics or ML-driven use cases is beneficial.
Nice to have
- Databricks certifications (Associate or Professional).
- Experience supporting asset-heavy or industrial environments.
- Background in energy, utilities, or infrastructure data platforms.
Why this role
- Work on live, utility-scale renewable assets rather than abstract datasets.
- High-impact role within a mature but fast-evolving digital platform.
- Strong engineering culture with real ownership and technical influence.
- Long-term stability combined with ongoing platform growth and investment.
Senior Data Engineer - Piper Maddox in Glasgow employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Piper Maddox in Glasgow
✨Network Like a Pro
Get out there and connect with folks in the renewable energy and data engineering space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with APM platforms and Databricks. Share specific examples of how you've designed and optimised data pipelines in past roles to really impress them.
✨Tailor Your Approach
Before any interview, do your homework! Research the company’s projects and challenges in renewable energy analytics. Tailor your responses to show how your skills in Python, SQL, and cloud platforms can directly benefit their operations.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to the exciting work we’re doing in renewable energy.
We think you need these skills to ace Senior Data Engineer - Piper Maddox in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with APM platforms and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills, especially in Python, SQL, and Databricks. We love seeing hands-on experience, so include specific examples of how you've used these technologies in your previous roles.
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 background makes you a perfect fit for our team. We want to feel your enthusiasm!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and integrations from APM platforms like Power Factors or Bazefield. Brush up on your experience with Databricks, especially Delta Live Tables, as this will be crucial for the role.
✨Showcase Your Technical Skills
Be ready to demonstrate your Python and SQL prowess during the interview. Prepare examples of how you've built and optimised data pipelines in cloud environments, particularly Azure, as this will highlight your hands-on experience.
✨Collaboration is Key
Since the role involves working closely with software engineers and data scientists, think of examples where you’ve successfully collaborated across teams. Highlight your experience with CI/CD automation and how it has improved your workflow.
✨Prepare Questions About Their Projects
Show genuine interest by preparing thoughtful questions about their current projects and challenges. This not only demonstrates your enthusiasm but also gives you insight into how you can contribute to their goals.
