Data Engineer: AI-Driven Data Platform & Governance

bynder; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning budget

Commuting budget

Mental Health support

Unlimited vacation

Volunteer Time Off

Lunch & snacks

Descripción de la vacante

Bynder is seeking a Data Engineer to partner with data analysts, scientists, and engineers to build scalable data pipelines and self-serve tools. You will influence data architecture and governance across products, driving insights for internal stakeholders and customers.

You will work with AWS, Spark, Kafka, Snowflake, and Terraform, shaping an AI-native data platform that accelerates insights and product improvements.

Formación

• Minimum 5+ years in Data Engineering with a focus on modern data architectures.
• Experience with AI-native development and data mesh concepts.
• Strong knowledge of data governance and data lineage practices.
• Proficient in building scalable data pipelines and analytics-ready data.
• Hands-on with Spark, Kafka, AWS stack and Airflow for orchestration.

Responsabilidades

• Lead improvements to data architecture applying Data Mesh principles.
• Develop, scale, maintain and deploy cloud-based data platform infrastructure.
• Drive data lineage and governance across the organization.
• Support Product & Engineering with data needs and insights.
• Build ETL pipelines, detect anomalies, and optimize data aggregations for analysis and dashboards.

Conocimientos

AI Native development

Data Mesh

Data Governance

Data Lineage

Data pipelines

Spark

Kafka

AWS stack

Airflow

Snowflake

Terraform

English communication

Herramientas

Airflow

Snowflake

Terraform

Spark

Kafka

AWS (S3, Glue, Athena, EMR)

Descripción del empleo

Bynder is seeking a Data Engineer to partner with data analysts, scientists, and engineers to build scalable data pipelines and self-serve tools. You will influence data architecture and governance across products, driving insights for internal stakeholders and customers.

You will work with AWS, Spark, Kafka, Snowflake, and Terraform, shaping an AI-native data platform that accelerates insights and product improvements.