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 energy with data.
- Qualifications: Basic knowledge of Python and SQL; passion for data engineering is key.
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 in London employer: Cititec
As a leading energy provider and risk manager in the UK, our company offers an exceptional work environment for IT Data Architects, fostering innovation and collaboration on our exciting Data & AI journey. Employees benefit from a culture that prioritises professional growth, with ample opportunities to enhance their skills in data engineering while contributing to impactful projects across the business. Located in a dynamic sector, we provide a unique chance to be at the forefront of technological advancements, making a meaningful difference in the energy landscape.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect in London
✨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 pipelines 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 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 tell us why you’re the perfect fit for this role. Share your passion for data and AI, and explain how your background can contribute to our journey. Keep it engaging and personal!
Showcase Your Projects:If you’ve worked on any data ingestion pipelines or ETL workflows, make sure to mention them! We love seeing real-world applications of your skills, so include links to your GitHub or any relevant portfolios.
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 makes the process smoother for everyone involved!
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 skills, especially around building and maintaining data pipelines, as this will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you tackled them. Companies love candidates who can demonstrate their ability to think critically and adapt to changing landscapes, especially in a dynamic field like data engineering.
✨Understand the Business Context
Since the role involves supporting various business functions, do some research on the energy sector and how data plays a role in trading, forecasting, and customer-facing products. This will help you connect your technical skills to real-world applications during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and platform strategy. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals, especially as they embark on their Data & AI journey.
