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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 innovation and sustainability.
- Why this job: Be part of the green energy revolution and work with cutting-edge technologies.
- 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 clients' 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.
Platform Collaboration & Delivery
- 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 in London employer: Taylor Hopkinson Limited
Contact Detail:
Taylor Hopkinson Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Databricks and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Medallion architecture and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Azure, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially those involving data ingestion pipelines or Medallion architecture. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our offshore wind project. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Let’s get your application in!
How to prepare for a job interview at Taylor Hopkinson Limited
✨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 be ready to discuss how you've implemented it in past projects. Be prepared to share specific examples of how you've built and maintained data pipelines, focusing on the Bronze, Silver, and Gold layers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with ML/Data Scientists, highlight any previous experiences where you collaborated on data projects. Discuss how you’ve supported teams in preparing datasets for analysis and how you ensure maintainability and transferability of your work.
✨Stay Current with Industry Trends
Demonstrate your knowledge of the latest developments in the energy sector, particularly in offshore wind and renewable energy. Being able to discuss recent trends or technologies will show your passion for the field and your commitment to staying updated.