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DATABASE ENGINEER

Canary Wharf
1 week ago
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JOB TITLE: DATABASE ENGINEER

DETAILS:

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

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