At a Glance
- Tasks: Design and maintain data pipelines, optimise workflows, and support analytics.
- Company: Join a leading energy provider on an exciting Data & AI journey.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Be part of a transformative journey in the energy sector with real impact.
- Qualifications: Basic knowledge of Python and SQL; passion for data engineering.
The predicted salary is between 50000 - 60000 £ 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 Engineer in London employer: Cititec
Join a leading energy provider and risk manager in the UK, where you will be at the forefront of an exciting Data & AI journey. With a strong emphasis on employee growth, you will benefit from a collaborative work culture that values innovation and creativity, alongside opportunities for professional development in a rapidly evolving industry. Enjoy the unique advantage of working in a dynamic environment that supports both personal and career advancement while contributing to impactful projects that shape the future of energy.
StudySmarter Expert Advice🤫
We think this is how you could land Bi Data 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 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 company’s data journey. Be ready to discuss how you can contribute to their data engineering capabilities and support their AI initiatives.
✨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 hiring managers who are looking for talent like yours.
We think you need these skills to ace Bi Data 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 foundations 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 our journey into Data & AI, especially in building scalable data pipelines and optimising ETL/ELT workflows. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let’s get to the good stuff without any fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Cititec
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are the core foundations for the role. Brush up on your knowledge of data ingestion pipelines and ETL/ELT workflows, as you might be asked to discuss how you would design and optimise them.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios related to data engineering challenges. Think about how you would monitor and improve pipeline performance or implement data quality frameworks. This will demonstrate your analytical thinking and practical approach.
✨Understand the Business Context
Familiarise yourself with the energy sector and how data engineering plays a role in trading, forecasting, and customer-facing products. Showing that you understand the business landscape will set you apart and show your genuine interest in the company’s journey.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data architecture and platform strategy. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation!
