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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 potential.
- Why this job: Make a real impact in the clean energy sector while developing your skills.
- Qualifications: Strong experience in data pipelines, Python, and cloud platforms.
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 (eg 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 in London employer: VIQU Ltd
Contact Detail:
VIQU Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨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 lookout 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, and cloud platforms like AWS. Practice common interview questions and think about how you can demonstrate your ability to mentor others.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, you'll be part of a community that values collaboration and innovation in the clean energy space.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud technologies, and any relevant projects that showcase your skills in Python and ETL processes.
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 background makes you a perfect fit for the team. Don’t forget to mention your mentoring experience!
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your hands-on experience with AWS, SQL/NoSQL databases, and any big data tools you've worked with. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at VIQU Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially cloud platforms like AWS or Azure. Brush up on your Python skills and be ready to discuss your experience with ETL processes and data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you optimised data processing or improved data quality, as these will resonate well with the interviewers.
✨Collaboration is Key
Since this role involves working in a collaborative, agile team, be ready to discuss how you’ve worked with cross-functional teams before. Highlight your communication skills and any mentoring experiences you have, as they’ll want to see you can lead and support others.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they integrate renewable energy systems. This shows your genuine interest in the role and helps you assess if the company aligns with your values and career goals.