AI-Powered Data Platform Engineer (Data Mesh)

Bynder; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Challenging and inspiring work环境

Learning and Development budget

Commuting budget

Mental Health and Well-being Support

Bynder Love stipend

Unlimited vacation policy

Volunteer Time Off

Team and Company activities

Complimentary Lunches and Snacks

Descripción de la vacante

Bynder, a leading content experience platform, is hiring a Data Engineer. You will collaborate with data analysts, data scientists, software engineers and DevOps to build scalable data pipelines and self-serve tools for internal stakeholders and customers.

The role focuses on improving data architecture, deploying cloud infrastructure, enforcing data lineage and governance, and supporting product and engineering teams with data needs.

Formación

• Minimum of 5+ years of Data Engineering experience.
• Hands-on with AI-native development and modern data architectures.
• Experience implementing Data Mesh, governance and lineage.
• Proficient in cloud data platforms and orchestration tools.
• Collaborates with cross-functional teams of engineers, data scientists and DevOps.

Responsabilidades

• Take a leading role in the improvement of our Data architecture by applying Data Mesh principles.
• Develop, scale, maintain and deploy our data platform infrastructure in the cloud.
• Take a leading role in applying Data Lineage and Governance throughout the organisation.
• Support the entire Product & Engineering organisation in their data needs.
• Develop custom ETL pipelines, detect anomalies, and create optimised aggregations for analysis and dash boarding.

Conocimientos

AI Native development

Data Mesh

Data Governance

Cloud data architectures

Herramientas

Spark

Kafka

AWS

S3

Glue

Athena

EMR

Airflow

Snowflake

Terraform

Descripción del empleo

Bynder, a leading content experience platform, is hiring a Data Engineer. You will collaborate with data analysts, data scientists, software engineers and DevOps to build scalable data pipelines and self-serve tools for internal stakeholders and customers.

The role focuses on improving data architecture, deploying cloud infrastructure, enforcing data lineage and governance, and supporting product and engineering teams with data needs.