Senior Data/AI Application Engineer (CPT) at Datafin Recruitment

ENVIRONMENT:

• A forward-thinking Independent Asset Management Firm seeks the coding talents of a Senior Data/AI Application Engineer who is excited & passionate about the rapid shift toward AI-native development.
• You will own the full lifecycle — from engaging with stakeholders and shaping requirements, through to build, test and deployment — working in close partnership with Product Owners and SMEs across Compliance, HC, Finance, Legal, CoSec and Ops Risk.
• You will bring a Dev’s instinct to every stage of that process, using modern AI tooling to move faster and go further. The ideal candidate will possess a Degree in Computer Science/Software Engineering or related technical field with 3-5 years’ hands-on Development experience – ideally in Financial Services or a regulated environment.
• You also need to be proficient with Azure Data Factory, Databricks, Azure DevOps, Power Automate, Power Apps, and Power BI & be familiar with AI tools including Claude Code or GPT Codex.

DUTIES:

• Work closely with Product Owners and SMEs across Compliance, HC, Finance, Legal, CoSec and Ops Risk to gather requirements and translate them into technical specifications, owning delivery end-to-end from requirements through to build, test and deployment.
• Build solutions using Python and C#, leveraging AI Coding Assistants (Claude Code, GPT Codex) to accelerate development and reduce manual overhead.
• Design, build and maintain API integrations and system connections across the Central Services estate and with external vendors within the broader Azure application ecosystem.
• Prototype and deploy AI-assisted features — document classification, anomaly detection, intelligent workflow routing, natural language querying — within the Central Services technology stack.
• Design, build and maintain ETL/ELT data pipelines using Azure Data Factory and Databricks.
• Write SQL for data modelling, transformation and reporting layers.
• Build and maintain Power BI datasets and dashboards to serve business stakeholders.
• Implement data quality controls, logging and lineage tracking across pipelines.
• Build Power Automate and Power Apps workflows that eliminate manual dependencies across Central Services functions.
• Own CI/CD pipeline configuration and deployment processes using Azure DevOps and GitHub.
• Manage deployments, releases and environment configurations in line with production change standards.
• Perform code reviews and maintain code quality across the team’s solution portfolio.
• Work within an Agile framework, delivering iteratively and maintaining ongoing momentum.

REQUIREMENTS:

Qualifications –

• Relevant Degree in Computer Science, Software Engineering, or a related technical field.

Experience/Skills –

• Minimum 3–5 years’ hands-on Development experience, ideally in Financial Services or a regulated environment.
• Practical experience building and integrating APIs and working with Azure Data Factory, Databricks, and Azure DevOps.
• Hands-on experience with Power Automate, Power Apps, and Power BI.
• Familiarity with AI coding tools such as Claude Code or GPT Codex.
• Experience with GitHub and CI/CD pipeline configuration.
• Sufficient stakeholder and requirements experience to engage directly with business teams and own delivery end-to-end.

Advantageous –

• Strong Python and SQL skills; C# experience.
• Experience building or integrating AI/ML features in production.

ATTRIBUTES:

• Builder mentality — most energised when shipping working solutions that land with end users.
• Comfortable moving between code-level detail and business-level conversation.
• High standards for code quality, documentation and production reliability.
• Intellectually curious, particularly about AI tooling and its practical applications in a regulated environment.
• Self-directed and able to manage competing priorities without close oversight.
• Embraces change and can thrive in an environment where the technology landscape evolves quickly.