Senior DataOps Engineer: Scalable Data on Kubernetes

dLocal; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A global fintech company in Madrid seeks a Senior DataOps Engineer to design and enhance its data platform. Responsibilities include building scalable infrastructure using Kubernetes and Databricks, implementing CI/CD pipelines, and ensuring data governance. Candidates should have a degree in a related field, experience in data engineering, and proficiency in Python or SQL. This is an opportunity to thrive in a diverse global team while making a significant impact in emerging markets.

Servicios

Flexible schedules

Referral bonus program

Learning & development access

Free language classes

Social budget for team activities

Opportunity to rent houses for team coworking

Formación

• Bachelor’s degree or equivalent in a technical field.
• Proven experience in data engineering and backend software development.
• Strong skills in Python or SQL, building data or platform tooling.
• Experience with distributed data processing frameworks such as Apache Spark.
• Solid understanding of AWS and/or GCP.

Responsabilidades

• Design and build scalable data infrastructure on Kubernetes and Databricks.
• Maintain CI/CD pipelines for data applications automating testing and deployment.
• Implement robust data governance practices for data access and quality.
• Monitor and improve data services and resolve complex data issues.

Conocimientos

Data engineering

Platform engineering

Python or/and SQL

Apache Spark

Cloud platforms (AWS, GCP)

Containerization and orchestration

CI/CD pipelines

Monitoring & observability

Analytical thinking

Educación

Bachelor’s degree in Computer Engineering, Data Engineering, or Computer Science

Herramientas

Databricks

Kubernetes

Docker

Terraform

GitHub Actions

Descripción del empleo

A global fintech company in Madrid seeks a Senior DataOps Engineer to design and enhance its data platform. Responsibilities include building scalable infrastructure using Kubernetes and Databricks, implementing CI/CD pipelines, and ensuring data governance. Candidates should have a degree in a related field, experience in data engineering, and proficiency in Python or SQL. This is an opportunity to thrive in a diverse global team while making a significant impact in emerging markets.