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 journey in data engineering with real-world impact.
- Qualifications: Core skills in Python and SQL are essential; experience in data engineering is a plus.
The predicted salary is between 45000 - 55000 £ 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
Data & BI Engineer in London employer: Cititec
As a Data & BI Engineer at one of the UK's largest energy providers, you will be part of an innovative team driving a transformative Data & AI journey. The company fosters a collaborative work culture that prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge technologies. With a commitment to diversity and inclusion, this employer offers a supportive environment where your contributions directly impact the business and its customers.
StudySmarter Expert Advice🤫
We think this is how you could land Data & BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering and AI. Be ready to discuss how you can contribute to building scalable data pipelines and optimising ETL workflows.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data & BI Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your core skills in Python and SQL right from the start. We want to see how you can apply these in real-world scenarios, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your experience aligns with the data engineering capabilities we’re looking to expand. It shows us you’ve done your homework and are genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and enthusiasm for the role!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 some technical challenges during the interview. Think about how you would design and optimise ETL/ELT workflows or build scalable data ingestion pipelines. Practising common data engineering scenarios can really help!
✨Understand the Business Context
Since this role supports various business functions, it’s crucial to understand how data impacts front office trading, customer products, and internal operations. Research the company’s journey into Data & AI and be ready to discuss how you can contribute.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their data architecture and platform strategy. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
