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, 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: Basic knowledge of Python and SQL; passion for data engineering.
The predicted salary is between 50000 - 70000 £ 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
Ingegnere Dati in London employer: Cititec
Cititec is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As part of one of the largest energy providers in the UK, employees benefit from extensive growth opportunities in the rapidly evolving field of Data & AI, while enjoying a supportive culture that values foundational skills over exhaustive experience. Located at the heart of the energy sector, this role not only promises meaningful contributions to cutting-edge projects but also fosters professional development in a forward-thinking industry.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati 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 common data engineering questions and practical tests. We recommend practising coding challenges and discussing your past projects to demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Ingegnere Dati in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data engineering shine through! We want to see how excited you are about building scalable data pipelines and optimising workflows. Share any personal projects or experiences that highlight your skills in Python and SQL.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight your relevant experience with data ingestion, ETL/ELT processes, and any work you've done on data models. We love seeing how your background aligns with our needs!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you're a great fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
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 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 problems can really help!
✨Understand the Business Context
Since this role supports various business functions, it’s crucial to understand how data engineering impacts areas like trading, forecasting, and customer-facing products. 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.
