Senior Data Engineer - Global Impact Projects

Jobgether • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build scalable data systems. Collaborate with cross-functional teams. Impact domains like biotech and pharma. Remote, international environment.

Key Highlights

Turn massive datasets into actionable insights

Work on high-impact projects in biotech and pharma

Collaborate with data scientists, ML engineers, and developers

Key Responsibilities

Design, develop, and maintain scalable data systems

Build and maintain ETL/ELT pipelines

Integrate structured and unstructured data into data warehouses and data lakes

Collaborate with cross-functional teams to ensure data quality, consistency, and accessibility

Monitor data systems and continuously improve integrity, scalability, and efficiency

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Technical Skills Required

Python SQL ETL/ELT Cloud platforms (AWS, Azure, GCP) Docker Kubernetes CI/CD

Benefits & Perks

Competitive B2B compensation up to 23,000 PLN net/month

Fully remote work

Modern work equipment (MacBook or ThinkPad with Linux environment)

Budget for professional development

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Nice to Have

Experience in life sciences, biotech, genomics, or clinical data environments

Job Description

This role sits at the intersection of software engineering and advanced data systems, supporting global organizations in turning massive, complex datasets into actionable insights. You will design and build scalable data pipelines that power analytics, machine learning, and real-world scientific and business decisions. Working in a fully remote, international environment, you’ll collaborate closely with data scientists, ML engineers, and developers to ensure high-quality, reliable, and well-structured data flows. Your work will directly contribute to impactful domains such as biotech, pharma, and enterprise analytics. The role offers strong ownership across data architecture, engineering best practices, and performance optimization. You’ll be part of a highly skilled team that values clean engineering, scientific rigor, and meaningful impact.

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