DataOps Engineer & Platform Automation Lead

Nodi; Madrid; Hybrid; EUR 70,000 - 105,000; Full time

Job summary

dLocal seeks a DataOps Technical Referent to build and operate a reliable, secure, and scalable data-mesh platform. You will combine engineering with technical leadership, automating infrastructure and workflows, and helping teams translate requirements into practical solutions.

You’ll work across cloud infrastructure, data engineering, and analytics, focusing on Databricks platform administration and IaC. This role suits those who thrive in fast-moving environments, embracing ambiguity and

Qualifications

• Experience with Python, Bash and SQL in data engineering contexts.
• Terraform + infrastructure as code experience; Git-based workflows and CI/CD.
• Experience administering or operating Databricks and platform automation.
• Cloud environments, especially AWS; GCP experience is a plus.
• Understanding of databases, data warehouses, data lakes, data pipelines, and data modeling.
• Familiarity with GitHub, Docker, Kubernetes, and Helm.
• Strong troubleshooting, reliability, security, and detail orientation.
• Ability to collaborate across teams and communicate technical options clearly.
• Adaptability to rapid iteration and ambiguity; proactive problem solving.
• AWS associate- or professional-level certifications are a plus.
• Experience with streaming data concepts (Kafka or AWS Kinesis) and streaming pipelines.
• Understanding of event-driven architectures and monitoring of streaming workloads.

Responsibilities

• Build and maintain Python components, Terraform modules, and CI/CD pipelines to automate data platform processes and infrastructure.
• Administer and support Databricks workspaces and platform capabilities, including workspace configuration, access controls, compute policies, and operational standards.
• Manage Databricks infrastructure as code, applying reusable, version-controlled patterns for provisioning and configuration across environments.
• Support Databricks identity and access management, permissions, secrets, networking, and integrations with cloud and security teams.
• Help operate and optimize Databricks workloads, monitoring reliability, performance, and cost; investigate issues and coordinate their resolution.
• Integrate APIs and platform tools to automate data operations, trigger and monitor processes, and connect infrastructure and services.
• Deploy, maintain, and oversee cloud infrastructure to meet reliability and performance needs.
• Help develop data models, platform best practices, and technical documentation for users.
• Establish and improve DataOps and DevOps practices, policies, and processes.
• Work with stakeholders to understand needs, clarify requirements, and propose solutions; take ownership of issues and drive them through to resolution.
• Contribute to platform architecture and technology decisions, weighing trade-offs and promoting sound data access, stewardship, and governance practices.

Skills

Python

SQL

Bash

Terraform

CI/CD

Databricks

Git workflows

Docker

Kubernetes

Helm

Troubleshooting

Communication

Adaptability

AWS

GCP

Data modeling

Tools

Databricks

Terraform

Git

Docker

Kubernetes

Helm

Job description

dLocal seeks a DataOps Technical Referent to build and operate a reliable, secure, and scalable data-mesh platform. You will combine engineering with technical leadership, automating infrastructure and workflows, and helping teams translate requirements into practical solutions.

You’ll work across cloud infrastructure, data engineering, and analytics, focusing on Databricks platform administration and IaC. This role suits those who thrive in fast-moving environments, embracing ambiguity and