At a Glance
- 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 technology.
- 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 & Qualifications:
- 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
Join a forward-thinking company at the forefront of renewable energy, where as a Data Engineer, you will play a pivotal role in shaping the future of offshore wind projects in the UK. Our collaborative work culture fosters innovation and continuous learning, offering ample opportunities for professional growth and development. With a commitment to sustainability and cutting-edge technology, we provide a unique environment that not only values your contributions but also empowers you to make a meaningful impact in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with ingestion pipelines and Medallion architecture. Practising with mock interviews can really help us nail it!
✨Tip Number 4
Don’t forget to apply 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 proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data pipelines, Databricks, and Azure, as these are key for us. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background in renewable energy or offshore wind can benefit our projects. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve the Medallion architecture or cloud environments.
Apply Through Our Website:We encourage you to apply through our website for a smoother 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 Taylor Hopkinson
✨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, as this will show your hands-on experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with ML/Data Scientists, think of examples where you’ve collaborated effectively in a team. Highlight any experiences where you’ve supported others in preparing datasets or contributed to technical documentation.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing recent developments in Databricks, Azure, or the renewable energy sector. This shows that you’re not just technically skilled but also genuinely interested in the industry and its advancements.
