Cloud Data Engineer

SIX Group Services Ltd.; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading financial services company in Madrid is seeking a Data Platform Engineer to design and implement a cloud-native data science platform. The role involves building production-ready data pipelines and collaborating with key stakeholders across the organization. The ideal candidate has over 4 years of experience in data modeling and BI tools, proficient in both Python and SQL, and knowledge of cloud services. This position offers flexible working models and opportunities for personal development.

Servicios

Flexible Work Models

Personal Development Programs

Agile Working Methods

Formación

• 4+ years of practical experience building production data pipelines.
• Experience with Lakehouse architecture and knowledge of Spark.
• Proficiency with Python (PySpark) and SQL.

Responsabilidades

• Design and maintain a cloud native data science platform.
• Collaborate with business and IT teams for platform enablement.
• Onboard new use cases and optimize existing data pipelines.

Conocimientos

Production data pipelines

Data modeling

BI tools

Python (PySpark)

SQL

Cloud foundation services

ML/AI pipelines

CI/CD concepts

Communication skills

Herramientas

Databricks

Terraform/OpenTofu

Microsoft Azure

Descripción del empleo

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BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Madrid | Working from home up to 40% | Reference 7590

SIX is recruiting a data platform engineer to work on the company wide data platform. In this role, you will be part of a cross-functional team responsible for both designing and implementing a reliable platform for analytics and data science, as well as consulting internal customers who use the platform across the organization.

What You Will Do

• Be part of an international team that designs and maintains a mature cloud native data science platform, currently serving more than 14 internal analytics teams and 600+ users.
• Closely collaborate with key stakeholders from business data science teams and IT data engineering teams to enable them on the platform. Identify new requirements, analyze platform suitability, propose best practices and existing solutions through demos...
• Act as a hands-on data engineer to onboard new use cases and optimize existing ones, build production ready ETL pipelines, ML/AI use cases and reporting solutions.
• Implement new infrastructure components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams.

What You Bring

• 4+ years of practical experience building production data pipelines, data modeling and BI tools in the cloud.
• Experience with Lakehouse architecture, preferably Databricks, with a strong knowledge of Spark and Open Table formats (Delta and/or Iceberg).
• Proficiency with Python (PySpark) and SQL with a solid understanding of software development and automation concepts like CI/CD to build production data and ML pipelines (DataOps/MLOps).
• Basic knowledge of cloud foundation services (IAM, networking, storage...), cloud costs management (FinOps) as well as tools to manage cloud infrastructure with IaC (Terraform/OpenTofu, Pulumi, bash scripting...) on Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform.
• Growth mindset and a very proactive attitude for continuous learning and development.
• Good presentation and communication skills. Fluency in written and spoken English.

If you have any questions, check out our FAQ page or call Yuliya Stoyko at [phone] .

For this vacancy we only acceptdirect applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Flexible Work Models
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.