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- Tasks: Design and maintain scalable data solutions using modern technologies.
- Company: Join a leading Advanced Technology Centre focused on innovation.
- Benefits: Enjoy a collaborative culture, career growth, and hands-on experience.
- Why this job: Shape large-scale data solutions and make an impact in analytics and AI.
- Qualifications: Experience with Java, Python, and cloud services is a plus.
- Other info: Dynamic role with opportunities for continuous learning and mentorship.
The predicted salary is between 50000 - 65000 ÂŁ per year.
Our Advanced Technology Centre is a hub of innovation where we deliver high‑quality data and technology services to clients across both the public and private sectors. You’ll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you’re looking for a dynamic role that offers hands‑on experience with modern data technologies and the chance to shape large‑scale data solutions, this position offers you the opportunity to develop and progress rapidly.
As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You’ll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud‑based architectures that power intelligent decision‑making.
Key Responsibilities- Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark.
- Develop and support real‑time streaming pipelines and event‑driven integrations.
- Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue).
- Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture).
- Ensure data quality, lineage, governance, and security controls are applied consistently.
- Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins).
- Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments.
- Work with container technologies such as Docker and Kubernetes‑based workloads.
- Work closely with analytics, ML/AI, and product teams to deliver clean, well‑structured datasets.
- Participate in code reviews and internal knowledge‑sharing sessions.
- Provide guidance to junior engineers where needed.
Data Engineer in London employer: CyberNorth
Contact Detail:
CyberNorth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. We love seeing real-world applications of your work, so make sure to highlight any experience with Java, Python, or AWS services.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We recommend practising coding challenges and being ready to discuss your approach to building scalable data solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to join our collaborative culture.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Java, and any relevant technologies like AWS or Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our innovative culture. Let us know why you're excited about this role and how you fit into our team.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building a data pipeline or using cloud services, we love seeing real examples of your work that demonstrate your skills and creativity.
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 serious about joining our team at StudySmarter!
How to prepare for a job interview at CyberNorth
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, Python, and AWS services. Brush up on your knowledge of data pipelines and streaming technologies like Kafka and Spark, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your role in building scalable data solutions and ensuring data quality.
✨Demonstrate Collaboration
Since the role involves working closely with various teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight any experience you have with code reviews or mentoring junior engineers, as this shows your ability to contribute to a collaborative culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture, team dynamics, and opportunities for growth. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.