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# Data Platform Engineer - Snowflake

- **Company:** Deutsche Bank AG
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, JIRA, Computer Programming, Information Engineering, Data Infrastructure, Data Warehousing, Github, Python (Programming Language), Systems Development Life Cycle, Workflow Management Systems, Working Model 2D, Enterprise Data Management, Cloud Platform System, Data Ingestion, System Availability, Snowflake, Git, Terraform, Artifactory
- **Published:** August 23, 2026
- **Apply:** https://www.buscojobs.com.es/data-platform-engineer-snowflake-en-madrid-ID-368658905

## About the Role

Compensaciones / Beneficios * Contribute to end-to-end architecture and design of cloud data platform components to ensure scalability, security, and maintainability * Collaborate with product owners and stakeholders to translate requirements into user stories and solution designs, then implement and test platform capabilities * Design and develop reusable components for data ingestion, transformation and distribution to improve delivery speed and reliability * Build and maintain infrastructure components using Terraform and other infrastructure-as-code/automation tools * Collaborate with architects, security engineers, control functions and the Chief Data Office to strengthen regulatory compliance, security and platform reliability * Work with product owners to translate vision into concrete implementations Responsabilidades * At least three years in platform or data engineering with focus on enterprise data platforms * Strong expertise in the modern data stack, especially
Snowflake * Proficiency with IaC (Terraform), automation and orchestration tools (dbt, Airflow) * Good programming skills in Python and/or Java * Experience with SDLC tools (Git, JIRA, Artifactory, GitHub) * Strong problem-solving, strategic thinking, and attention to detail * Fluent in English (written and spoken) * Ability to leverage AI tools to improve productivity while ensuring responsible use of data and AI outputs Requisitos principales * hybrid working model * healthcare options * retirement plan * personalised benefits * inclusive culture * career development opportunities

## Description

Experteer Overview As Data Platform Engineer - Snowflake, you design and evolve a cloud data platform that underpins enterprise data for smarter decision-making.You work with cross-functional teams to translate requirements into scalable, secure platform capabilities and reusable data ingestion/processing components.You'll build infrastructure with IaC, emphasizing reliability, compliance and security.This role offers impact across the data stack at a globally oriented firm with a strong culture of collaboration and continuous improvement.Compensaciones / Beneficios * Contribute to end-to-end architecture and design of cloud data platform components to ensure scalability, security, and maintainability * Collaborate with product owners and stakeholders to translate requirements into user stories and solution designs, then implement and test platform capabilities * Design and develop reusable components for data ingestion, transformation and distribution to improve delivery speed and reliability * Build and maintain infrastructure components using Terraform and other infrastructure-as-code/automation tools * Collaborate with architects, security engineers, control functions and the Chief Data Office to strengthen regulatory compliance, security and platform reliability * Work with product owners to translate vision into concrete implementations Responsabilidades * At least three years in platform or data engineering with focus on enterprise data platforms * Strong expertise in the modern data stack, especially Snowflake * Proficiency with IaC (Terraform), automation and orchestration tools (dbt, Airflow) * Good programming skills in Python and/or Java * Experience with SDLC tools (Git, JIRA, Artifactory, GitHub) * Strong problem-solving, strategic thinking, and attention to detail * Fluent in English (written and spoken) * Ability to leverage AI tools to improve productivity while ensuring responsible use of data and AI outputs Requisitos principales * hybrid working model * healthcare options * retirement plan * personalised benefits * inclusive culture * career development opportunities


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