Senior Data Platform Engineer - Fintech

JR Spain; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A growing fintech firm is seeking a Senior Data Platform Engineer to enhance its Data team in Madrid. This role involves developing and maintaining Ebury's Data Warehouse, optimizing data pipelines, and collaborating with stakeholders to ensure data quality and governance. Ideal candidates will have over 3 years of experience with SQL and Python, alongside familiarity with Google Cloud and data engineering tools. Join us to contribute to an inclusive and innovative workplace where your skills will make a significant impact.

Servicios

Competitive salary and benefits

Continuous professional growth

Performance bonuses and equity options

Paid time off and holidays

Training and certification opportunities

Diverse and inclusive culture

Formación

• 3+ years in a Data Engineer or similar role.
• Proficiency in SQL and Python is critical.
• Experience with modern data stack tools is a plus.

Responsabilidades

• Monitor and optimize data processing performance.
• Participate in data modeling reviews and address technical debt.
• Automate data ingestion and transformation processes.

Conocimientos

SQL

Python

Data Warehousing

Data Governance

Attention to Data Quality

Fluency in English

Herramientas

Google Cloud Platform

Apache Airflow

Docker

dbt

Looker

GitHub

Jira

Descripción del empleo

Social network you want to login/join with:

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Client:

Ebury

Location:

Madrid, Spain

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

771820586327762534432460

Job Views:

1

Posted:

23.07.2025

Expiry Date:

06.09.2025

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Job Description:

Ebury is a hyper-growth FinTech firm, named in 2021 as one of the top 15 European Fintechs to work for by AltFi. We offer a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.

Senior Data Platform Engineer - Fintech

Join Our Data Team at Ebury. Ebury's strategic growth plan relies heavily on our Data team. We are seeking a Senior Data Engineer to join our Data Platform Engineering team.

Our data mission is to develop and maintain Ebury's Data Warehouse and serve it to the entire company, enabling Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts to collaborate effectively by:

• Building ETLs and data pipelines
• Providing clean, transformed data for analysis and BI tools
• Developing data models to support decision-making
• Automating data processes to focus on high-value analysis

We are looking for a skilled Senior Data Engineer focused on building and optimizing data platforms. You will develop frameworks and best practices to support analytics and ML initiatives, working closely with data analysts and engineering teams to ensure scalability, security, and efficiency of our data platform.

Why join Ebury? Want to work in a high-growth environment? We are always expanding. Want to build a better world? We believe in inclusion and stand against discrimination in all forms.

Technology and Data stack:

• Google Cloud Platform
• Apache Airflow
• Docker
• dbt
• Looker and Looker Studio
• Github
• Jira
• Synq

What we offer:

• Competitive salary and benefits
• Continuous professional growth
• Performance bonuses and equity options
• Paid time off and holidays
• Training and certification opportunities
• Diverse and inclusive culture

Responsibilities:

• Monitor and optimize data processing performance
• Participate in data modeling reviews
• Address technical debt
• Implement data governance policies
• Collaborate with stakeholders to understand data needs
• Automate data ingestion and transformation processes
• Evaluate new data tools and technologies
• Maintain documentation
• Promote best practices within the team

Experience and qualifications:

• 3+ years as a Data Engineer or similar role
• Proficiency in SQL and Python
• Experience with modern data stack tools (a plus)
• Knowledge of data warehousing concepts
• Understanding of data governance
• Attention to data quality
• Fluency in English (Spanish a plus)

Even if you don't meet every requirement, we encourage you to apply—your skills and experience might be a great fit!