At a Glance
- Tasks: Design and build scalable data pipelines while optimising workflows for data processing.
- Company: Join a leading energy provider on an exciting Data & AI journey.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Be part of a transformative project that shapes the future of data in the energy sector.
- Qualifications: Basic knowledge of Python and SQL; passion for data engineering is key.
The predicted salary is between 60000 - 80000 £ per year.
Cititec are partnered with one of the largest energy providers & risk managers in the UK, who are currently going on a new Data & AI journey. The core of this is expanding their data engineering capabilities to support across the entire business from front office trading & forecasting through to customer facing products and internal ops. Given the change in landscape and how many businesses are becoming agentic, they are looking to hire data engineers who simply have the core foundations (Python, SQL etc) rather than the usual wishlist!
- Design, build, and maintain scalable data ingestion pipelines
- Develop and optimise ETL/ELT workflows for batch and streaming data
- Build data models and schemas to support analytics and reporting
- Monitor and improve pipeline performance, reliability, and scalability
- Implement data quality and validation frameworks
- Contribute to data architecture and platform strategy
BI / Data Architect in London employer: Cititec
As a leading energy provider and risk manager in the UK, our company offers an exceptional work environment that fosters innovation and growth. With a strong focus on Data & AI, employees are encouraged to develop their skills in a collaborative culture that values creativity and initiative. Located at the heart of the energy sector, we provide unique opportunities for career advancement and the chance to make a meaningful impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land BI / Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practicing your answers with a friend or even in front of the mirror. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace BI / Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python and SQL expertise, as well as any relevant data engineering projects you've worked on. We want to see how you can contribute to our Data & AI journey!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our needs. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects:If you've worked on any data ingestion pipelines or ETL workflows, make sure to mention them in your application. We’re keen to see examples of your work and how you’ve tackled challenges in the past. It’s all about demonstrating your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are the core foundations for the role. Brush up on your data engineering concepts and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle real-world scenarios during the interview. Think about how you would design and optimise ETL/ELT workflows or build scalable data ingestion pipelines. Use examples from your experience to illustrate your thought process.
✨Understand the Business Context
Since the company is focused on enhancing their data capabilities across various business areas, do some research on how data impacts front office trading, customer products, and internal operations. This will help you connect your technical skills to their business needs.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their data architecture and platform strategy. Inquire about their current challenges with data quality and validation frameworks, and how you can contribute to improving them.
