Hybrid Data Engineer: Cloud DataOps & Observability

Migx; Barcelona; Híbrido; EUR 52.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

25 holiday days per year

Free English classes

Career development opportunities

Employee-centric culture

Descripción de la vacante

MIGx is seeking a Data Engineer to join our growing Data and AI Engineering team, working at the intersection of data, technology, and healthcare. You will build cloud-native pipelines, contribute to data mesh and data fabric architectures, and help implement DataOps for robust, observable, production-ready systems.

You’ll collaborate across cloud environments (Azure, AWS, GCP), use Databricks, dbt, PySpark, and SQL, and participate in CI/CD workflows with GitHub Actions and Azure DevOps.

Formación

• Experience with cloud-native data engineering using Databricks, dbt, PySpark, and SQL.
• Hands-on with at least one major cloud platform (Azure, AWS, GCP).
• Strong Python for transformation, scripting, and automation.
• Knowledge of data quality, validation, and test-driven development.
• Familiarity with observability, metrics, logging, and data lineage tools.

Responsabilidades

• Build and manage ETL/ELT pipelines with Databricks, dbt, PySpark, and SQL.
• Contribute to scalable data platforms across Azure, AWS, and GCP.
• Implement and maintain CI/CD workflows (GitHub Actions, Azure DevOps).
• Apply DataOps: versioning, testing, lineage, and deployment automation.
• Integrate automated data quality checks, profiling, and validation.
• Ensure data observability through logging, metrics, and alerts.
• Collaborate on IaC for data environments using Terraform.
• Connect and orchestrate ingestion from APIs, databases, and file systems.
• Work in agile teams, participating in standups and retrospectives.

Conocimientos

Databricks

dbt

PySpark

SQL

Python

CI/CD automation

GitHub Actions

Azure DevOps

Terraform

DataOps

Agile/Scrum

English

Herramientas

Databricks

dbt

PySpark

SQL

GitHub Actions

Azure Pipelines

Terraform

Descripción del empleo

MIGx is seeking a Data Engineer to join our growing Data and AI Engineering team, working at the intersection of data, technology, and healthcare. You will build cloud-native pipelines, contribute to data mesh and data fabric architectures, and help implement DataOps for robust, observable, production-ready systems.

You’ll collaborate across cloud environments (Azure, AWS, GCP), use Databricks, dbt, PySpark, and SQL, and participate in CI/CD workflows with GitHub Actions and Azure DevOps.