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Optiveum
Human Resources Services
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We are currently looking for a Lead Integration Engineer to join the central integration team of our global client, a pharmaceutical company. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
Are you an experienced Python Backend Engineer looking for the right place to build integrations that matter? You will help modernise how Research and Development systems exchange data and support scientific work across the organisation, driving the work on a modern integration layer for R&D systems. Working closely with architects, technical and business stakeholders, you will create scalable, secure and maintainable integration solutions. The role offers significant ownership and the opportunity to shape architecture, integration patterns, engineering practices and technology direction.
Rate: up to 46 EUR/h (B2B)
Work Model: Hybrid (office presence frequency to be agreed with the client during interviews), full-time (40h/week)
Location: Warsaw, Poland
Integration & API Leadership
Design and implement API-first architectures
Build reusable integration capabilities
Drive standardisation of API contracts, schemas and governance
Event-Driven Architecture
Lead adoption of event-based integrations using Kafka
Define event standards and integration patterns
Platform Engineering
Implement Infrastructure as Code using Terraform
Build cloud-native services running on Azure Kubernetes Service
Define CI/CD standards using GitHub Actions
Improve observability, monitoring and deployment automation
Architecture & Technical Governance
Participate in architecture and design reviews
Mentor engineers and establish engineering best practices
Drive technology modernisation and technical roadmap execution
Ensure alignment with enterprise standards, security and compliance requirements
15+ years of experience in software engineering
Educational background in Computer Science, Software Development or Engineering
Python / FastAPI
Databricks / Databricks Apps / Lakebase
REST APIs and microservices
Kafka and Event-Driven Architecture
Kubernetes (Azure Kubernetes Service)
Terraform / Infrastructure as Code
Azure Platform Services
GitHub Actions and CI/CD pipelines
Distributed systems design
SDLC best practices
Fluent English
Based in Poland
Nice to have:
API Management
Databricks Zerobus / Delta Tables / Delta Sharing
Event Sourcing
Apache Flink
Data Mesh concepts
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