Assay Data Processing Engineer

Experis ManpowerGroup Sp. z o.o.; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading staffing and workforce solutions firm is seeking an experienced Software Engineer in Wrocław to design and maintain cloud-based data processing solutions. The ideal candidate will have strong Python skills and experience with AWS, focusing on integrating and analyzing experimental data in cloud environments. Additional skills in DevSecOps practices and laboratory workflows are valued. This position offers a flexible remote work model and various employee benefits including insurance and an e-learning platform.

Benefits

MultiSport Plus

Group insurance

Medicover Premium

E-learning platform

Qualifications

• Experience in programming with Python, especially in API and ETL.
• Practical experience with AWS cloud services.
• Understanding of laboratory data processing workflows.

Responsibilities

• Design and develop data processing pipelines in Python.
• Integrate with MedCon/Riffyn platforms.
• Implement DevSecOps practices including CI/CD.

Skills

Python programming

Data processing pipelines

DevSecOps tools

Cloud environments on AWS

Tools

AWS

ETL tools

Containers

Job description

Start date: ASAP/1 month/flexible
Duration: long term (12 months with further extensions)
Work model: 100% remote
Type of cooperation: B2B

Role Overview

We are looking for an experienced Software Engineer to join a team focused on Assay Data Processing. The role involves designing, implementing, and maintaining solutions for integrating and analyzing experimental data in a cloud environment.

Key Responsibilities

• Design and develop data processing pipelines (ETL) in Python
• Integrate with MedCon/Riffyn platforms and other LIMS/ELN systems
• Build and maintain cloud environments on AWS
• Implement DevSecOps practices (CI/CD, security, automation)
• Collaborate with laboratory and data science teams to ensure data quality and consistency
• Participate in system architecture design and technical documentation

Requirements

• Experience in programming with Python (API, ETL, testing)
• Knowledge of MedCon/Riffyn or similar platforms
• Practical experience with AWS
• Ability to work with DevSecOps tools (CI/CD, IaC, containers)
• Experience in designing solution architecture
• Understanding of laboratory data processing and metadata workflows

Nice to Have

• Experience in the life sciences or biotech industry
• Familiarity with data analysis tools (pandas, numpy)
• AWS or DevOps certifications

We Offer

• MultiSport Plus
• Group insurance
• Medicover Premium
• E-learning platform