Software Engineer – Human Data Platforms (Remote)

About the role

We are seeking a Software Engineer to design, develop, and maintain scalable data platforms that process human‑generated datasets. The role is fully remote and offers the chance to work with a global leader in data infrastructure and analytics.

Key responsibilities

• Design, build, and optimise data pipelines for large‑scale human‑generated datasets.
• Develop and maintain backend services supporting real‑time and batch processing.
• Collaborate with data scientists and analysts to ensure data integrity and accessibility.
• Implement monitoring, logging, and alerting to maintain platform reliability.
• Contribute to architectural decisions that improve scalability and performance.

Required profile

• Proficiency in Python, Java, or Go for backend development.
• Experience with distributed systems such as Kafka or Spark.
• Knowledge of cloud platforms (AWS, GCP, or Azure) for data infrastructure.
• Familiarity with SQL and NoSQL databases.
• Understanding of data governance, security, and compliance best practices.
• Ability to design and optimise data pipelines for performance and scalability.
• Experience with containerisation and orchestration tools like Docker and Kubernetes.
• Strong problem‑solving skills and attention to detail when debugging complex systems.

Required skills

• Python
• Java
• Go
• Kafka
• Spark
• AWS
• GCP
• Azure
• SQL
• NoSQL
• Docker
• Kubernetes

What we offer

• Competitive salary range $140K‑$220K per year.
• Fully remote work environment.
• Opportunity to work on cutting‑edge data platforms with a global leader.