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 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
Ingegnere Dei Dati 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 focus on employee development and a culture that values creativity and initiative, Cititec stands out as a rewarding place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati
✨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 loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Ingegnere Dei Dati
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! We’re keen to see real examples of your work that demonstrate your ability to design and maintain scalable solutions.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 the company is focused on energy and risk management, it’s beneficial to understand how data engineering impacts these areas. Research their business model and think about how your role as a data engineer can contribute to their goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data architecture and platform strategy. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
