The team, position & mission:

We are looking for a Senior Integration Consultant to join our consulting practice and support strategic data and integration initiatives for clients operating in highly regulated environments, particularly within the banking and financial services sector.

The consultant will help organizations design, implement and evolve modern integration and data ecosystems that enable secure, scalable and efficient information exchange across business applications, data platforms and digital services.

This role combines strong hands-on integration engineering expertise, architectural thinking and stakeholder management. You will work closely with IT, data and business teams to understand requirements, assess existing environments and design and deliver robust, future-proof integration solutions.

You will work across technologies including Python, Java, SQL Server, FastAPI, Kafka, API management platforms such as Gravitee, and container platforms such as OpenShift.

The role also encourages the pragmatic and responsible use of AI-assisted development tools and emerging AI integration approaches to improve productivity, accelerate delivery and enhance solution quality.

We value people who are proactive on every level, deliver exceptional results, work well with others and make a clear impact on our clients and our business. If you love collaborating, learning, sharing your expertise and being recognized for your achievements, you’ll fit right in with our team.

Your key areas of responsibility as Senior Integration Consultant:

Data Integration Architecture

• Assess existing data and integration landscapes and identify opportunities for improvement.

• Design and implement secure, scalable and maintainable integration solutions.

• Define integration patterns and approaches for synchronous, asynchronous and event-driven architectures.

• Contribute to the design of modern data platforms and data exchange mechanisms.

• Support the definition of target architectures, migration strategies and implementation roadmaps.

• Ensure that architecture and design decisions address security, regulatory, reliability and performance requirements, particularly in mission-critical environments.

Solution Delivery

• Design, develop and maintain integration services, APIs and data pipelines using technologies such as Python, Java and SQL/SQL Server.

• Design and develop APIs, including using frameworks such as FastAPI.

• Implement and support real-time data streaming and messaging solutions using Kafka.

• Configure, manage and optimise APIs using API Management Platforms, ideally Gravitee.

• Contribute to real-time and batch data exchange solutions as well as ETL/ELT processes and data transformation.

• Deploy, monitor and maintain integration components in containerised environments, particularly OpenShift and Kubernetes.

• Work with enterprise integration technologies such as Talend ESB, Apache Camel or equivalent platforms.

• Ensure solutions meet security, compliance, reliability and performance requirements.

• Troubleshoot complex integration issues and provide technical guidance to project teams and less experienced colleagues.

• Contribute to the design, implementation and support of business-critical and mission-critical services.

Stakeholder Collaboration

• Gather, analyse and document functional and technical requirements with business and technical stakeholders.

• Translate business needs into actionable technical solutions and recommendations.

• Collaborate with cross-functional client teams to deliver scalable integration solutions.

• Produce high-quality technical documentation, architecture diagrams, integration workflows and presentation materials.

• Communicate effectively with both technical and non-technical audiences.

• Act as a bridge between business requirements, architecture and technical implementation.

Consulting & Continuous Improvement

• Contribute to client assessments, technical recommendations and transformation initiatives.

• Advise clients on integration architecture, APIs, data exchange and modernization approaches.

• Promote best practices in integration, API management, data management and software engineering.

• Support knowledge sharing and the development of reusable assets, integration patterns and methodologies.

• Stay informed about emerging technologies and industry trends in application integration, data management and AI-enabled software engineering.

AI-Assisted Delivery

Use AI-based tools in a pragmatic and responsible manner to:

• Accelerate development, testing and documentation activities.

• Support the analysis of incidents, logs and performance data.

• Support coding, automation and technical problem-solving through AI-assisted development approaches.

• Improve productivity while maintaining strong engineering, security and quality standards.

• Critically evaluate, test and validate AI-generated outputs.

• Contribute where relevant to emerging AI integration approaches and standards, including Model Context Protocol (MCP) and natural-language-assisted development.

As an ideal candidate you have:

• 5+ years of hands-on experience in application and/or data integration.

• Strong experience delivering integration projects in complex enterprise environments.

• Experience within banking, financial services or other highly regulated industries.

• Experience contributing to large-scale transformation or modernization initiatives.

• Experience designing, implementing and supporting business-critical or mission-critical systems.

• Proven ability to design and implement secure, scalable integration solutions.

Strong technical expertise across most of the following areas:

• Application and data integration principles.

• Python and Java for integration development.

• SQL and SQL Server for data handling and transformation.

• API design and development.

• FastAPI or comparable API development frameworks.

• API management platforms, ideally Gravitee.

• Event-driven and microservices architectures.

• Event streaming and messaging platforms, particularly Kafka.

• Enterprise Integration Patterns.

• Integration platforms such as Talend ESB, Apache Camel or equivalent.

• Real-time and batch data processing.

• ETL/ELT and data transformation techniques.

• Data security, access management and compliance principles.

• Cloud-native and containerized environments.

• Container orchestration platforms, particularly OpenShift and Kubernetes.

• AI-assisted software development, testing and documentation.

Experience or familiarity with Model Context Protocol (MCP) and its use in connecting AI-enabled solutions with enterprise systems and data is an advantage.

You also bring:

• Strong analytical and problem-solving capabilities.

• Excellent communication and stakeholder management skills.

• Ability to bridge business, architecture and technical perspectives.

• Pragmatic and solution-oriented mindset.

• Strong documentation and presentation skills.

• Autonomous, proactive and collaborative working style.

• Fluency in French and English.

What we offer you:

• A community of experts - as Digital Natives, we put innovation at the heart of our expertise.

• We may work with tomorrow’s technology, but at our core we are a people-oriented organization.

• Hybrid ways of working with access to our modern & collaborative office in Geneva.

• An open and inclusive culture, that enables us to reach our full potential.

• Read more about the benefits we offer here.

About Orange Business: