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Senior Backend Engineer – Data Platforms

BioLegend, Inc.Madrid, Comunidad de Madrid, España

Hace más de 30 días

Descripción del trabajo

Revvity Signals platform s aim to revolutionize scientific research by providing advanced cloud SaaS data management and data analytics tools to researchers and professionals in the life sciences industry.

If you are looking to join an international team of talented engineers, designers, and product managers, and contribute to delivering amazing, high-impact, customer-focused features, this is a great opportunity.

About the Role

We’re looking for a Senior Backend Engineer to join our growing data platform team. In this role, you’ll architect and build scalable, high-performance backend systems that power advanced analytics and data-driven decision-making across the organization.

What You’ll Do

Design and implement cloud-native backend services for large-scale data processing and analytics
Collaborate with data scientists, analysts, and product teams to turn complex business needs into elegant technical solutions
Build and optimize
and pipelines for performance, scalability, and reliability
Drive
secure
use of cloud infrastructure (primarily AWS)

What We’re Looking For (Must have)

5+ years of experience as a backend engineer, ideally in data-intensive environments

Strong proficiency in Python (preferred), with additional experience in Java or Scala a plus

Deep experience with AWS (preferred), Azure, or GCP, and its data ecosystem (e.g., ECS, Fargate, S3, Redshift, Lambda)

Familiarity with containerization and orchestration tools (Docker, Kubernetes)

Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.)

Strong problem-solving skills and a collaborative mindset.

Excellent problem-solving skills and ability to mentor others

Nice to Have

Master’s degree in Computer Science, Engineering, or a related field

Experience working with streaming data, event-driven architectures, or real-time analytics

Hands-on experience with big data frameworks (e.g., Dask, Spark, Hadoop)

Exposure to machine learning workflows, data science tools, or BI platforms

Contributions to open-source projects or technical blogs

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Senior Backend Engineer • Madrid, Comunidad de Madrid, España