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 and make a real impact.
- Qualifications: Basic knowledge of Python and SQL; passion for data is key!
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 Dati employer: Cititec
Cititec is an exceptional employer, offering a dynamic work environment where innovation meets opportunity. As part of one of the largest energy providers in the UK, employees benefit from a culture that prioritises growth and collaboration, with ample opportunities for professional development in the rapidly evolving fields of Data and AI. Located at the heart of the energy sector, team members enjoy a unique chance to contribute to impactful projects while being supported by a forward-thinking organisation committed to fostering talent and embracing change.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere 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 ETL workflows or optimising data pipelines – 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 Dati
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 passion.
Tailor Your Skills to the Job:Make sure to align your skills with what we’re looking for in the job description. Highlight your experience with Python and SQL, and don’t forget to mention any relevant projects where you've designed or maintained data ingestion pipelines.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your experience and skills effectively. A well-structured application makes it easier for us to see why you’d be a great fit!
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 shows you’re serious about 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 ingestion pipelines and ETL/ELT workflows, so you can confidently discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Be prepared to talk about specific challenges you've faced in data engineering and how you overcame them. Companies love candidates who can demonstrate their ability to think critically and adapt to changing landscapes, especially in a dynamic field like AI.
✨Understand the Business Context
Research the company’s journey into Data & AI. Knowing how your role as a data engineer fits into their broader strategy will help you articulate your value during the interview. It shows that you’re not just a techie but also understand the business side of things.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data architecture and platform strategy. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.
