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AI Data Engineer

Remote: 
Full Remote
Contract: 
Salary: 
50 - 75K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Extensive experience in data engineering, Proficiency in SQL and NoSQL, Experience with cloud platforms (AWS, Google Cloud, Azure), Understanding of data preparation for AI/ML, Ability to shape data practices effectively.

Key responsabilities:

  • Design and maintain data pipelines for AI features
  • Ensure data quality and consistency for AI applications
  • Work with integration developers on data connection
  • Optimise data storage and retrieval processes
  • Collaborate with teams to align data strategies
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mywork Human Resources, Staffing & Recruiting Startup https://mywork.co.uk
2 - 10 Employees
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Job description

This is a remote position.

AI Data Engineer

Remote - within the UK

£50,000 - £75,000

AI - Data Engineer - Our client is a leading Fintech company in the financial services sector, recognized for their innovative approach to enhancing their bespoke, cutting-edge CRM platform. This platform is central to their operations, enabling the continuous delivery of market-leading features and the expansion of their diverse product offerings to both residential and commercial customers.

The Opportunity:

As the AI Data Engineer, you will play a pivotal role in establishing the data infrastructure for a newly formed team dedicated to implementing AI-driven processes across the company’s CRM platform, Progressive Web Apps (PWA), decisioning engine, and various proprietary tools. This is a unique opportunity to influence the design of data pipelines, ensure data quality, and set the standards for how data supports AI applications within a complex, multi-platform environment.

Key Responsibilities:

  • Data Pipeline Design: Design and maintain data pipelines that support AI-driven features across CRM, PWAs, the decisioning engine, and other proprietary tools, establishing the foundational data infrastructure for the team.
  • Data Quality Management: Ensure data quality, consistency, and availability to support AI applications such as NLP, real-time analytics, and adaptive AI systems across multiple platforms, setting standards for data management within the team.
  • Integration Collaboration: Work closely with the AI Integration Developer to connect data sources with third-party AI tools, influencing the technical approach to data integration within the proprietary technology stack.
  • Optimisation: Optimise data storage and retrieval processes, helping to define how data supports AI integration across various systems, ensuring efficient and scalable data handling.
  • Monitoring and Logging: Implement monitoring and logging solutions to track data flow and AI tool performance, establishing processes that ensure data-driven decision-making within the team.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to align data strategies with business goals, influencing the data strategy for the new team and contributing to the overall success of AI initiatives.

Requirements

  • Extensive experience in data engineering or database management, particularly in AI/ML applications across multiple platforms.
  • Proficiency in SQL, NoSQL, and data pipeline tools.
  • Practical experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Understanding of data preparation for AI/ML models, including those involving AI agents and feedback loops within complex technology environments.
  • Demonstrated ability to shape data practices within new teams and deliver effective data solutions across diverse systems.

This is an exceptional opportunity to join a forward-thinking Fintech company at the forefront of AI innovation, where your expertise in data engineering will be instrumental in driving the next wave of AI-driven solutions

Benefits

  • Perkbox perks: great deals on holidays, shopping, cinema tickets, health cover, car rental and much, much more.
  • BUPA health insurance
  • Paid Holiday
  • Company Pension
  • Fully remote working with all equipment provided for you

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving
  • Analytical Thinking

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