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 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 - 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 dei dati (f/m) 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, alongside 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 organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising ETL workflows – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Let’s get you on that Data & AI journey!
We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and data engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our Data & AI journey. Keep it concise but impactful – we love a good story!
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 real examples of your work that demonstrate your capabilities and creativity.
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 from us during the process!
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 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 you shine.
✨Understand the Business Context
Since the company is focused on enhancing their data capabilities across various business areas, it’s crucial to understand how data engineering supports front office trading, customer products, and internal operations. This will show that you’re not just a techie but also someone who gets the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data architecture and platform strategy. This demonstrates your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it shows you’re proactive and engaged!
