Data Engineer for AI-Driven Pipelines

Wizeline; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Wizeline in Barcelona seeks a data platform engineer to migrate and optimize pipelines across Databricks and Snowflake. You will build dbt models, manage Airflow orchestration, and ensure output parity between platforms while controlling costs.

You’ll work with client stakeholders, apply SQL and Python to transform data, and contribute to architecture decisions in a fast-growing AI-enabled environment.

Formación

• 3+ years operating production data pipelines.
• Strong SQL</br>— window functions, complex joins.
• Python for scripting, automation, and API integration.
• Experience with Databricks, Snowflake, and dbt workflows.
• Familiar with AWS basics (S3, IAM).
• Knowledge of Iceberg and cross-platform sharing is a plus.

Responsabilidades

• Keep production pipelines running: ingestion, transformation, and delivery to downstream consumers.
• Diagnose and resolve pipeline failures and data quality issues.
• Migrate legacy tables and maintain cross-platform sharing between Databricks and Snowflake.
• Build and test dbt models and incremental materializations.
• Develop and maintain Airflow DAGs for orchestration.
• Validate migrated pipelines produce output equivalent to Databricks versions.
• Work with client stakeholders and team lead on technical topics.

Conocimientos

Databricks

Snowflake

dbt

Airflow

Python

SQL

Unity Catalog

AWS

Herramientas

PySpark

Redshift

Iceberg

Descripción del empleo

Wizeline in Barcelona seeks a data platform engineer to migrate and optimize pipelines across Databricks and Snowflake. You will build dbt models, manage Airflow orchestration, and ensure output parity between platforms while controlling costs.

You’ll work with client stakeholders, apply SQL and Python to transform data, and contribute to architecture decisions in a fast-growing AI-enabled environment.