At a Glance
- Tasks: Design and maintain scalable data pipelines while optimising workflows for batch and streaming data.
- Company: Join a leading energy provider on an exciting Data & AI journey.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic 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 50000 - 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
Data Engineer Con Spark/Scala (Remoto) in London employer: Cititec
As a leading energy provider and risk manager in the UK, our company offers an exceptional work environment that fosters innovation and growth. With a strong focus on Data & AI, we provide our employees with the opportunity to work on cutting-edge projects while enjoying a collaborative culture that values every team member's contributions. Our commitment to professional development ensures that you will have access to continuous learning and career advancement opportunities, making this an ideal place for those looking to make a meaningful impact in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) in London
✨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. Whether it's a cool ETL pipeline or a data model, let us see what you've got. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you’ve tackled real-world data challenges. We want to hear about your thought process and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto) in London
Some tips for your application 🫡
Show 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 in real-world scenarios, so don’t hold back on sharing relevant experiences!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your experience aligns with the data engineering capabilities we’re looking to expand. It shows us you’ve done your homework and are genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the job description.
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!
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, as you might be asked to discuss how you would design and optimise them.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would monitor and improve pipeline performance or implement data quality frameworks. Use examples from your past experiences to illustrate your problem-solving approach.
✨Understand the Business Context
Since the company is on a Data & AI journey, it’s crucial to understand how data engineering supports business objectives. Familiarise yourself with how data impacts front office trading, customer products, and internal operations. This will help you align your answers with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company’s data architecture strategy. Inquire about their current challenges in data engineering or how they envision the future of their data capabilities. This demonstrates your enthusiasm and engagement.
