Lead Integration Engineer

OPTIVEUM

8h•Hybrid

About The Position

Optiveum is recruiting and contracting for a Lead Integration Engineer to join the central integration team of a global pharmaceutical company. The role focuses on modernising how Research and Development systems exchange data and supporting scientific work across the organisation by driving a modern integration layer for R&D systems. The engineer will work closely with architects and technical and business stakeholders to create scalable, secure, and maintainable integration solutions, with significant ownership and influence over architecture, integration patterns, engineering practices, and technology direction. The position is full-time (40 hours per week) and hybrid, with office attendance frequency to be agreed with the client during interviews. It is based in Warsaw, Poland, and offers a B2B rate of up to 46 EUR per hour. The cooperation agreement is signed directly with Optiveum, the recruitment and contracting party.

Requirements

At least 15 years of experience in software engineering.
Educational background in Computer Science, Software Development, or Engineering.
Experience with Python and FastAPI.
Experience with Databricks, Databricks Apps, and Lakebase.
Knowledge of REST APIs and microservices.
Experience with Kafka and Event-Driven Architecture.
Experience with Kubernetes, specifically Azure Kubernetes Service.
Experience with Terraform and Infrastructure as Code.
Knowledge of Azure Platform Services.
Experience with GitHub Actions and CI/CD pipelines.
Knowledge of distributed systems design.
Knowledge of SDLC best practices.
Fluent English.
Based in Poland.

Nice To Haves

API Management.
Databricks Zerobus, Delta Tables, or Delta Sharing.
Event Sourcing.
Apache Flink.
Data Mesh concepts.

Responsibilities

Design and implement API-first architectures.
Build reusable integration capabilities.
Drive standardisation of API contracts, schemas, and governance.
Lead adoption of event-based integrations using Kafka.
Define event standards and integration patterns.
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.
Participate in architecture and design reviews.
Mentor engineers and establish engineering best practices.
Drive technology modernisation and execution of the technical roadmap.
Ensure alignment with enterprise standards and security and compliance requirements.