Remote Platform Data Engineer - ETL, AWS, dbt & Airflow

PVcase; España; Presencial; EUR 62.400 - 81.900; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited remote work

Office access in Barcelona

Flexible hours

Training programs

Salary reviews

Descripción de la vacante

PVcase is hiring a Data/Platform Engineer to architect and optimize scalable ETL/ELT pipelines and data lakes in a cloud-first setup. You will manage end-to-end data ingestion, transformation, and storage, collaborating with product and analytics teams to deliver data products.

The role requires strong SQL and Python, hands-on AWS experience, and familiarity with dbt, Airflow, and Terraform. Global teams and remote work options are available.

Formación

• Proven experience architecting and operating ETL/ELT pipelines and data warehouses.
• Strong SQL and Python skills for data transformation and tooling.
• Hands-on AWS experience (S3, IAM, related services).
• Familiarity with dbt, Airflow, and Terraform for workloads and IaC.
• Ability to collaborate with cross-functional teams and document architectures.

Responsabilidades

• Architect, optimize, and maintain scalable data pipelines and warehouses.
• Write and review transformation logic with dbt; manage workflows with Airflow.
• Maintain AWS-based messaging and data ingestion infrastructure.
• Design secure, scalable data interfaces (S3) for product teams.
• Support deployment using Terraform with least-privilege access.
• Collaborate with engineers, PMs, and analysts to create reusable platform solutions.
• Participate in code reviews and document data architectures and workflows.
• Proficiency in SQL and Python.
• Hands-on experience with AWS services and cloud data warehousing.

Conocimientos

SQL

Python

dbt

Airflow

AWS

Terraform

Data pipelines

Data warehouses

ETL/ELT

Data modeling

S3 & IAM

Herramientas

Airflow

dbt

Terraform

Descripción del empleo

PVcase is hiring a Data/Platform Engineer to architect and optimize scalable ETL/ELT pipelines and data lakes in a cloud-first setup. You will manage end-to-end data ingestion, transformation, and storage, collaborating with product and analytics teams to deliver data products.

The role requires strong SQL and Python, hands-on AWS experience, and familiarity with dbt, Airflow, and Terraform. Global teams and remote work options are available.