At a Glance
- Tasks: Design and maintain 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 work environment with a focus on innovation and collaboration.
- Why this job: Be part of a transformative journey in data engineering with real-world impact.
- Qualifications: Core skills in Python and SQL are essential; experience in data engineering is a plus.
The predicted salary is between 55000 - 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
Senior Engineer, Data Engineering employer: Cititec
As a Senior Engineer in Data Engineering at one of the UK's largest energy providers, you will be part of an innovative team driving a transformative Data & AI journey. The company fosters a collaborative work culture that prioritises employee growth through continuous learning and development opportunities, while also offering competitive benefits and a commitment to work-life balance. Located in a dynamic sector, this role provides 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 Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. We recommend including examples of your Python and SQL work, as well as any cool data pipelines you've built. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with ETL/ELT workflows. We suggest practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We believe it shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Show Your Passion for Data Engineering:When writing your application, let your enthusiasm for data engineering shine through! Share specific examples of projects or experiences that highlight your skills in Python and SQL. We want to see how you can contribute to our exciting Data & AI journey.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Engineer role. Highlight relevant experience with data ingestion pipelines, ETL/ELT workflows, and any work you've done on data models. This helps us see how you fit into our vision!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to your technical skills and achievements.
Apply Through Our Website:Don’t forget to apply 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 keen to join our team at StudySmarter!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
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 your experience and how it relates to the company's needs.
✨Showcase Your Problem-Solving Skills
Be prepared to share specific examples of how you've tackled challenges in data engineering. Whether it's optimising a pipeline or implementing a data quality framework, having concrete stories will demonstrate your ability to contribute effectively to their data architecture.
✨Understand Their Business Context
Research the company’s journey into Data & AI and how they plan to expand their data engineering capabilities. This will help you tailor your responses and show that you’re genuinely interested in how your skills can support their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data projects and future plans. This not only shows your enthusiasm but also gives you a chance to assess if the company aligns with your career aspirations in data engineering.
