At a Glance
- Tasks: Design and build scalable data pipelines while optimising workflows for data processing.
- Company: Join a leading energy provider on an exciting Data & AI journey.
- Benefits: Competitive salary, flexible working options, 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 project that shapes the future of data in the energy sector.
- Qualifications: Basic knowledge of Python and SQL is essential; passion for data is a must!
The predicted salary is between 60000 - 80000 £ 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
IT Data Architect employer: Cititec
As a leading energy provider and risk manager in the UK, our company offers an exceptional work environment that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with opportunities to grow their skills in data engineering and AI within a supportive culture that values creativity and initiative. Located at the heart of the energy sector, we provide a unique chance to contribute to impactful projects that shape the future of energy management.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 scenarios. Practice explaining your thought process when designing data models or optimising ETL workflows – it’s all about demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace IT Data Architect
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your core skills like Python and SQL in your application. We want to see how you can apply these foundations to the role, so don’t hold back on showcasing your experience!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your background aligns with the data engineering capabilities we’re looking to expand, especially in relation to AI and data architecture.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly relevant to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Cititec
✨Know Your Tech Stack
Make sure you’re well-versed in the core technologies mentioned in the job description, like Python and SQL. Brush up on your data engineering fundamentals and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data ingestion or ETL workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Since this role supports various business functions, do some research on the energy sector and how data impacts trading, forecasting, and customer products. This will help you demonstrate your understanding of the bigger picture during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their data architecture and platform strategy. Inquire about their current challenges with data quality or pipeline performance to engage in a meaningful conversation.
