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Full-time
Remote
Very strong English skills is a must — about C1 level 🇬🇧

We are looking for a Senior Python Engineer — Data Platform expert to join a European company that works on cutting-edge Regulatory Technology (RegTech) solutions, providing independent regulatory intelligence for highly regulated industries.

Our client develops advanced data-driven platforms that help global brands stay ahead of regulatory change, mitigate risk, and unlock new opportunities.

About the Role

This is a systems engineering position, not an AI research role. The successful candidate will design, build, and own production-grade data ingestion and enrichment systems that power regulatory intelligence workflows across the platform.

You will take ownership of Python services responsible for regulatory data ingestion, transformation, enrichment, and internal operational tooling. The role requires strong engineering discipline with a focus on reliability, structure, security, and operational impact.

Key Responsibilities:

Architect and build Python services and ETL pipelines

Design data transformation layers from raw source to structured output

Implement schema validation and data integrity checks

Integrate LLM services with proper retry, monitoring and guardrails

Build APIs that expose structured data to Drupal and Node applications

Improve determinism and predictability of enrichment workflows

Optimise performance, throughput and cost

Contribute to internal tools that improve operational efficiency

Contribute to integration layers within Drupal where necessary

Apply secure coding practices aligned to our ISO 27001 controls

Use AI tools effectively in your own engineering workflow to accelerate delivery and improve code quality
 

💡What You’ll Bring (required skills):

Technical Skills

• Strong Python experience building production systems
• Experience designing ETL or data processing pipelines
• Strong understanding of data modelling and schema design
• Experience integrating external APIs
• Familiarity with LLM based systems
• Experience working with relational databases
• Experience exposing or consuming REST APIs
• FastAPI or similar async Python api framework
• Pydantic or equivalent schema validation
• AWS deployment experience
• Testing discipline for data heavy systems
• Understanding of secure coding principles and cloud security fundamentals

AI Capability and Leadership

• Comfortable using AI tools to accelerate design, debugging and refactoring
• Able to prompt effectively and critically evaluate AI generated code or analysis
• Understands the limitations, non determinism and failure modes of LLM systems
• Able to design guardrails, validation layers and fallback strategies
• Treats AI as part of a system, not an oracle
• Willing to share best practice and act as a responsible advocate for AI usage across engineering

Engineering Mindset

• Thinks in systems and data flows
• Values reliability, observability and security
• Pragmatic about AI, focused on structure and validation
• Comfortable working across boundaries between data and application layers
• Writes clean, maintainable and well tested code
• Comfortable owning services long term
• Uses AI to enhance productivity without compromising standards
   

This is a challenging but exciting opportunity for a strong engineer. If this sounds like you, apply now and let’s start the conversation!

About the Company
Our client is a European technology-driven organization operating in the Regulatory Technology (RegTech) space. The company provides independent, high-quality regulatory intelligence and compliance insights to professionals working in highly regulated industries such as payments, financial services, and gambling.

Its products combine structured regulatory content, workflow-driven applications, and AI-powered enrichment systems that enable organizations to stay ahead of regulatory change, mitigate risk, and identify new opportunities across more than 180 global jurisdictions.

The company operates in a security-conscious environment aligned with ISO 27001 standards.

The Role
As part of the Product Engineering team, the Senior Full Stack Engineer will deliver features end-to-end across a mixed Drupal and Node.js ecosystem, supporting multiple regulatory intelligence products.

This is not a single-codebase role. You will move across systems and take ownership of features from data modelling and API design through to front-end delivery and production release.

This is a hands-on engineering position with real product ownership and architectural influence.

Our Technology Environment

• Drupal 9 / 10 with custom modules and JSON APIs
• Node.js with NestJS
• GraphQL and Prisma ORM
• PostgreSQL and Redis
• Vue.js front-end applications
• PrimeVue, Pinia, Tailwind CSS
• AWS infrastructure

• AI-powered enrichment services integrated via APIs

   

Key Responsibilities

• Design and build features across Drupal and NestJS-based services
• Develop and extend custom Drupal modules
• Build RESTful APIs in both PHP and Node.js environments
• Implement Vue.js components and front-end workflows
• Own features from refinement through production release
• Contribute to architectural discussions and technical design
• Improve performance, security, and maintainability
• Write unit and integration tests
• Participate in code reviews and mentor mid-level engineers
• Apply secure coding practices aligned with ISO 27001 controls
• Use AI tools effectively to enhance delivery speed, code quality, and problem-solving

What You’ll BringTechnical Skills

• Strong PHP experience with Drupal module development
• Strong Node.js experience (ideally with NestJS)
• Solid Vue.js experience
• Experience with GraphQL and Apollo
• Prisma ORM or equivalent
• API design and JSON-based integrations
• Strong SQL and relational data modelling skills
• Experience deploying to AWS environments
• CI/CD familiarity
• Understanding of authentication and authorization patterns

• Knowledge of secure coding principles and web application security

   

AI Capability and Responsibility

• Comfortable using AI tools to accelerate development and analysis
• Able to prompt effectively and critically evaluate AI-generated output
• Understands the strengths and limitations of LLMs in software development
• Treats AI as an engineering assistant, not a source of truth
• Able to identify hallucinations, edge cases, and security risks in generated code
• Willing to advocate responsible AI usage within the team

Engineering Mindset

• Comfortable owning features end-to-end
• Able to move across stacks without friction
• Pragmatic and product-focused
• Writes maintainable, well-structured code
• Curious about new tools but disciplined in adoption
• Considers performance, resilience, and security as part of delivery
• Comfortable operating in a fast-moving, evolving product environment

Nice to Have

• Experience integrating AI or LLM-backed services
• Experience working in regulated or compliance domains
• Experience modernizing legacy systems while delivering new features
• Familiarity with Infrastructure as Code
•  

If this role feels like your next challenge, apply, and let’s chat!