Data Platform Lead — Hybrid Cloud & Automation

Deutsche Bank AG; Madrid; Híbrido; EUR 120.000 - 170.000; Jornada completa

Descripción de la vacante

DWS Group in Madrid is seeking a Lead Engineer for the Data Platform to own the architecture and evolution of our enterprise data platform. You will steer a high-impact team, shape the technical roadmap and drive standards for data processing, automation and observability.

Ideal candidates bring 12+ years in data/platform engineering, deep Snowflake and Kafka/APIA workflows, and strong Python/SQL skills. The role emphasizes collaboration with security, governance, and architecture teams in a

Formación

• 12+ years of experience in data/platform engineering.
• Deep Snowflake expertise: architecture, ingestion, transformation, governance.
• Proficient with Apache Airflow: DAG patterns, scheduling, testing, monitoring.
• Strong Kafka experience: topic design, producers/consumers, governance.
• Integrates batch and streaming pipelines across Snowflake, Airflow and Kafka.
• Advanced Python/SQL; Java beneficial for Kafka services.

Responsabilidades

• Own end-to-end architecture of data platform across hybrid cloud and on-prem.
• Define technical roadmap, standards, and reusable patterns for orchestration and data processing.
• Lead architectural decisions, proofs of concepts, and adoption plans.
• Establish reliability, observability, monitoring, and SLOs for data components.
• Drive platform automation via IaC, CI/CD, automated testing, self-service engineering.
• Collaborate with architecture, security, governance and apps teams to ensure compliance.

Conocimientos

Snowflake

Apache Airflow

Apache Kafka

Python

SQL

Terraform

Git

CI/CD

OpenShift/Kubernetes

Data platform engineering

Leadership

Educación

Relevant degree

Herramientas

Snowflake

Airflow

Kafka

Python

SQL

Terraform

Git

CI/CD

OpenShift/Kubernetes

Descripción del empleo

DWS Group in Madrid is seeking a Lead Engineer for the Data Platform to own the architecture and evolution of our enterprise data platform. You will steer a high-impact team, shape the technical roadmap and drive standards for data processing, automation and observability.

Ideal candidates bring 12+ years in data/platform engineering, deep Snowflake and Kafka/APIA workflows, and strong Python/SQL skills. The role emphasizes collaboration with security, governance, and architecture teams in a