Data Engineer

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🕒 March 20

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Appsilon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💊 Pharmaceuticals

🤝 B2B

Pharmaceuticals • B2B

Appsilon is a technology company that partners with life sciences and pharmaceutical organizations to build open-source, validated data analytics and visualization solutions using R, Python, and Shiny. They provide cloud-native Statistical Computing Environments (SCEs), GxP-compliant infrastructure, Axon. R validation tooling, and SAS-to-open-source migration to accelerate clinical development, regulatory submissions, and enterprise analytics in highly regulated settings. Appsilon delivers B2B services combining software engineering, data science, and AI to produce production-grade clinical apps, dashboards, and automation for pharmaceutical and life sciences companies.

📋 Description

• Design, build, and maintain scalable data pipelines across diverse environments • Integrate data from multiple internal and external sources into data warehouses or data lakes • Collaborate closely with Data Scientists, ML Engineers, and Developers to ensure data quality, structure, and availability • Monitor and improve data integrity, performance, and reliability • Build and optimize database schemas, data models, and documentation • Implement data governance, security best practices, and compliance standards

🎯 Requirements

• Backend Python Development • Strong experience building scalable backend systems in Python • Comfortable with modern language features (type hints, decorators, generators) • Able to design clean, maintainable APIs using FastAPI, Django REST Framework, or Flask • Good understanding of performance optimization and Python internals • A collaborative mindset — you enjoy working closely with cross-functional teams • Data Engineering • Hands-on experience designing and operating ETL/ELT pipelines • Solid SQL skills and ability to model, optimize, and maintain database structures • Experience integrating data from multiple sources (databases, APIs, streaming) • Familiarity with large-scale data processing tools or distributed systems • Nice to have: Experience with cloud platforms (AWS/Azure/GCP) • Knowledge of R • Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, GitLab CI) • Understanding of data governance, metadata management, and security • Experience in life sciences, biotech, genomics, or enterprise data environments • Prior remote work experience with international teams • Life science skills: Molecular Biology & Bioinformatics, Clinical Trials - Data Tools & Flow, CDISC & Clinical Data Standards, Nextflow

🏖️ Benefits

• Competitive B2B compensation with clear salary ranges (up to 23.000 PLN net B2B) • Modern equipment (MacBook / ThinkPad + Linux environment) • Budget for professional development (certifications, courses, conferences) • Opportunity to collaborate with industry experts on innovative data products • A supportive, ambitious, and friendly team that cares about excellence • Fully remote work