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- Tasks: Design and implement scalable data pipelines for a major offshore wind project.
- Company: Join a leading company in renewable energy and make a difference.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on sustainability and cutting-edge technology.
- Why this job: Be at the forefront of renewable energy and contribute to innovative data solutions.
- Qualifications: Master’s degree in a relevant field and 4-7 years of data engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
Data Engineer for a major offshore wind project in The United Kingdom.
Responsibilities:
- Design and implement scalable ingestion pipelines from multiple source systems including internal business data sources.
- Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture.
- Work within client’s existing security framework to establish compliant connectivity to operational data sources.
- Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL.
- Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability.
- Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling.
- Contribute to technical documentation and ensure pipelines are maintainable and transferable.
- Stay current on Databricks and Azure platform developments relevant to the stack.
- Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves.
Experience:
- Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
- Professional certifications in Azure, Databricks preferred.
- Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus.
- 4-7 years of hands‑on data engineering experience in a cloud environment.
- Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent).
- Proven ability to implement Medallion architecture or equivalent layered data modelling patterns.
- Experience with REST API ingestion and integration of business systems (ERP, finance tools).
- Experience in a contractor or project‑based delivery model preferred.
- Exposure to OT/SCADA environments or energy sector data.
- Exposure to MLOps workflows or collaboration with data science teams.
Data Engineer employer: 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 Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events related to data engineering. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
When you land an interview, be ready to showcase your technical skills. Prepare to discuss your experience with Databricks, Azure, and any relevant projects you've worked on. We recommend bringing along a portfolio or examples of your work to really impress the hiring team.
✨Ask Smart Questions
During interviews, don’t just wait for them to ask you questions. Show your interest by asking about their data architecture, challenges they face, or how they integrate new data sources. This not only demonstrates your knowledge but also helps you gauge if the company is the right fit for you.
✨Apply Through Our Website
We’ve got a ton of exciting opportunities listed on our website, so make sure to check it out! Applying directly through us not only streamlines the process but also gives you a better chance of being noticed by our hiring team. Don’t miss out!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Databricks, and Azure. We want to see how your skills match what we're looking for!
Showcase Relevant Experience: When writing your application, focus on your hands-on experience in cloud environments and any projects related to offshore wind or renewable energy. This will help us see your fit for the role.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Taylor Hopkinson | Powered by Brunel
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks and Azure. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your knowledge of these during the interview.
✨Understand the Medallion Architecture
Familiarise yourself with the Medallion architecture and how it applies to data ingestion and transformation. Be ready to discuss how you've implemented similar architectures in past projects, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering, particularly in cloud environments. Highlight any experience with REST API ingestion or working with energy sector data, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the role and the company’s projects. Inquire about their current data initiatives or how they envision the future of data engineering within their offshore wind projects. This demonstrates your enthusiasm and forward-thinking mindset.