Job Description

Lead Integration Engineer

About the Offer

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.

Key Details:

• 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

Responsibilities:

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

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