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 - 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) 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 data engineering while contributing to impactful projects that shape the future of energy and AI. With a strong focus on employee development and a culture that values creativity and initiative, Cititec is committed to fostering a rewarding career path for its team members.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 gives you a chance to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tests. We recommend practicing coding challenges and discussing your thought process clearly during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Ingegnere dei dati (f/m)
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 got any personal or professional projects that demonstrate your data engineering skills, don’t hold back! Include links or descriptions in your application. We’re keen to see how you design, build, and maintain data pipelines.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it shows you're keen on joining our team!
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 understand 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.
