Data Platform Engineer: Scalable Pipelines & Security

Doodle; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Doodle is a B2B SaaS platform powering scheduling and collaboration for millions of professionals. The Data Infrastructure Engineer will design, build and operate scalable data ingestion, processing and storage platforms, ensuring reliability, security and ease of use across teams.

You will work with SRE, product, engineering, analytics and security teams to keep data workflows efficient, documented and self-service, while maintaining cost controls and robust observability.

Qualifications

• 2+ years in data platform engineering or scalable software systems.
• Kafka and Avro: schema design, serialization and evolution.
• Redshift and production Airflow: data modeling and performance tuning.
• Cloud and DevOps: CI/CD, infrastructure as code and Kubernetes, plus data lakes and open table formats.

Responsibilities

• Build the platform: design, build and operate scalable infrastructure for data ingestion, transformation, storage and serving.
• Run infrastructure as code: manage secure, reproducible cloud environments for development, testing and production, with sensible cost controls.
• Keep it reliable and secure: own SLOs, runbooks and alerts for critical data systems. Protect sensitive data through access controls, encryption, secrets management and retention policies.
• Fix problems at the root: investigate incidents, lead root-cause analysis and implement preventative improvements.
• Make data easy to use: improve discoverability through cataloging, lineage, ownership and quality testing, and build documentation, tooling and self-service workflows so analytics and engineering teams can work independently.

Skills

Clear communication

Stakeholder management

Data platform thinking

Tools

Kafka

Avro

Redshift

Airflow

Kubernetes

dbt

Job description

Doodle is a B2B SaaS platform powering scheduling and collaboration for millions of professionals. The Data Infrastructure Engineer will design, build and operate scalable data ingestion, processing and storage platforms, ensuring reliability, security and ease of use across teams.

You will work with SRE, product, engineering, analytics and security teams to keep data workflows efficient, documented and self-service, while maintaining cost controls and robust observability.