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- Tasks: Design and build scalable data infrastructure for renewable energy insights.
- Company: Leading organisation in the clean energy sector with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for mentorship.
- Other info: Join a dynamic team with excellent career growth and mentoring opportunities.
- Why this job: Make a real impact in the clean energy sector while developing your skills.
- Qualifications: Strong experience in data pipelines, advanced Python skills, and cloud platform knowledge.
The predicted salary is between 80000 - 90000 £ per year.
VIQU has partnered with a leading organisation in the clean energy sector to recruit a Senior Data Engineer. You will design and build scalable data infrastructure, turning complex datasets into valuable insights that support renewable energy systems. Working in a collaborative, agile team, you’ll take ownership of key initiatives while contributing to best practices and mentoring others.
Key Responsibilities of the Senior Data Engineer:
- Build and maintain scalable data infrastructure using cloud technologies
- Develop and optimise ETL pipelines for efficient data processing
- Support data science and analytics to optimise energy assets
- Implement infrastructure as code (Terraform/AWS)
- Ensure data quality, integrity, and consistency
- Integrate external APIs for data ingestion and delivery
- Collaborate with cross-functional teams on data-driven solutions
- Mentor team members and promote best practices
Key Requirements of the Senior Data Engineer:
- Strong experience building data pipelines, platforms, and storage systems
- Advanced Python skills with a focus on production-quality code
- Solid understanding of ETL processes and best practices
- Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience developing and deploying data services end-to-end
- Strong stakeholder communication and collaboration skills
- Ability to mentor others and promote best practices
Senior Data Engineer employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the clean energy sector and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud technologies and ETL processes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL/NoSQL databases, and how you've collaborated with cross-functional teams in the past.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing familiar faces!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the key responsibilities and requirements from the job description. Highlight your experience with data pipelines, cloud technologies, and any mentoring you've done. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about clean energy and how your skills can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When detailing your experience, be specific about the tools and technologies you've used. Mention your advanced Python skills, ETL processes, and any cloud platforms you've worked with. We’re keen to see your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially cloud platforms like AWS, Azure, or GCP. Brush up on your Python skills and be ready to discuss your experience with ETL processes and big data tools like Spark.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built scalable data infrastructure or optimised ETL pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on previous projects.
✨Emphasise Collaboration
Since this role involves working in a collaborative, agile team, be ready to talk about how you’ve worked with cross-functional teams in the past. Share experiences where you’ve mentored others or contributed to best practices, as this will show your leadership potential.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, the challenges they face in the clean energy sector, and how the data engineering team collaborates with data science and analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.