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- Tasks: Design and build scalable data services for a cutting-edge energy platform.
- Company: Join Viqu Energy, a fast-growing tech company revolutionising the energy transition.
- Benefits: Enjoy 25 days holiday, flexible working, and a learning budget.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Make a real impact on renewable energy systems while advancing your career.
- Qualifications: Degree in Computer Science and strong experience with data pipelines and Python.
The predicted salary is between 80000 - 90000 £ per year.
Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system.
We are looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You will focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You will work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems.
What You’ll Do:
- Design and build scalable data services within a modern architecture.
- Develop ETL pipelines for efficient data ingestion and transformation.
- Enable advanced analytics and optimisation of energy assets.
- Apply DevOps best practices using Terraform and AWS.
- Maintain high standards of data quality and reliability.
- Collaborate across teams to deliver impactful solutions.
- Mentor team members and promote best practices.
About You:
- Degree in Computer Science (or equivalent experience).
- Strong experience with data pipelines, storage, and platforms.
- Advanced Python skills and production-level coding experience.
- Experience building and deploying data services end-to-end.
- Solid understanding of ETL and data engineering best practices.
- Experience with SQL/NoSQL, APIs, and cloud platforms.
- Familiarity with big data tools and MLOps concepts.
- Strong communication, collaboration, and mentoring skills.
Main Tech Stack:
- Python
- AWS (S3, Athena)
- Terraform
- Docker
- Prefect
- Pulsar
- PostgreSQL
- Cassandra
- GitLab CI/CD
What’s On Offer:
- 25 days holiday + bank holidays + festive closure
- Flexible, hybrid working
- Enhanced parental leave
- Annual salary reviews
- Learning & development budget + paid memberships
- Inclusive culture, employee networks, and regular socials
Data Engineer employer: VIQU Energy Limited
Contact Detail:
VIQU Energy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Viqu Energy. A personal introduction can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, AWS, and ETL processes. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to discuss your past projects in detail. Practice common data engineering problems and be ready to explain your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Viqu Energy.
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, ETL processes, and any relevant projects that showcase your skills in Python and cloud platforms like AWS.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about the energy transition and how your background aligns with our mission. Be specific about your achievements and how they relate to the responsibilities of the role.
Showcase Your Technical Skills: Don’t forget to mention your technical skills prominently. We want to see your experience with tools like Terraform, Docker, and SQL/NoSQL. If you’ve worked with big data tools or MLOps concepts, make sure to include that too!
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 VIQU Energy Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, and Terraform. Brush up on your knowledge of ETL processes and data engineering best practices, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data services or pipelines. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since the role involves working closely with data scientists and stakeholders, be ready to talk about your collaboration experiences. Share examples of how you’ve worked in teams to deliver impactful solutions and how you’ve mentored others in best practices.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data and their future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals, especially in the context of the energy transition.