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- Tasks: Design and optimise data pipelines for web and AI applications.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Be at the forefront of AI and web development, making a real impact.
- Qualifications: Degree in IT or related field; experience in database engineering required.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
The predicted salary is between 41000 - 43000 £ per year.
We are seeking a highly qualified Data Engineer to join our Information Technology team, specialising in web development and artificial intelligence-driven solutions. The successful candidate will be responsible for designing, building, and optimising data pipelines to enable efficient data flow across products, AI models, and web applications. Collaboration with software engineers, data scientists, and product teams will be essential to delivering scalable, secure, and high-performance data infrastructure.
DUTIES & RESPONSIBILITIES:
- Design, engineer, and sustain scalable ETL/ELT pipelines supporting web platforms and AI/ML workflows.
- Integrate data from diverse sources (web applications, APIs, databases, third-party tools).
- Ensure the pipelines are robust, secure, and optimised for performance.
- Develop and maintain logical and physical data models to meet analytics, machine learning, and application requirements.
- Apply best practices in data warehousing, lakehouse architectures, and real-time data systems.
- Partner with data scientists to prepare datasets for AI/ML training and inference.
- Work with web development teams to support backend data layers, logs, user activity tracking, and personalisation engines.
- Facilitate data-driven features in web and AI products.
- Establish processes for data validation, cleaning, monitoring, and metadata management.
- Optimise database performance, query efficiency, and data flow reliability.
- Implement monitoring dashboards, alert systems, and comprehensive documentation for data operations.
SKILLS, EXPERIENCE & QUALIFICATIONS:
- A Bachelor’s Degree/Diploma in Computer Science, Engineering, Information Technology, or a closely related field.
- Proven experience as a Database Engineer, preferably in a software development environment.
- Experience with CI/CD pipelines, Docker, and Kubernetes.
- Knowledge of MLOps principles.
- Familiarity with AI-powered web applications, including recommendation systems, search-ranking engines, and NLP pipelines.
- Strong analytical and problem-solving capabilities.
- Excellent communication and teamwork skills.
- Ability to operate effectively in agile, dynamic environments.
The salary will be £ 41,000 - £ 43,000 DOE.
Locations
DATABASE ENGINEER in Canary Wharf, London employer: GBR Group Ltd
Contact Detail:
GBR Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DATABASE ENGINEER in Canary Wharf, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and AI solutions. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world scenarios. Practice explaining your thought process when designing ETL pipelines or optimising database performance – it’ll impress the interviewers!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Database Engineers, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your application status!
We think you need these skills to ace DATABASE ENGINEER in Canary Wharf, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Database Engineer role. Highlight your experience with ETL/ELT pipelines, data integration, and any relevant projects that showcase your skills in web development and AI solutions.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve optimised database performance or collaborated with teams on data-driven projects. We love seeing real-world applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Keep it engaging and personal – we want to get to know you!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at GBR Group Ltd
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of ETL/ELT processes. Be ready to discuss how you've designed and optimised data pipelines in the past, as this will show your practical experience and understanding of the role.
✨Showcase Your Collaboration Skills
Since collaboration is key for this position, prepare examples of how you've worked with software engineers, data scientists, or product teams. Highlight specific projects where teamwork led to successful outcomes.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle some technical questions or case studies during the interview. Think about challenges you've faced in previous roles and how you resolved them, especially in relation to database performance and data flow reliability.
✨Familiarise Yourself with AI and Web Development
Given the focus on AI-driven solutions, it’s a good idea to understand the basics of MLOps and how AI integrates with web applications. Bring up any relevant experience you have with recommendation systems or NLP pipelines to impress the interviewers.