Senior Data Engineer (Fintech)

We are Merlin Digital Partner! A leading IT and Digital headhunting company who stands out from the crowd, boasting over a decade of experience. We've successfully collaborated and played a pivotal role in the growth of industry heavyweights such as Wallapop, Glovo, Banc Sabadell, and Duracell, among others.

Our emphasis lies in people-centric approaches and optimizing the selection processes. Our mission is to revolutionize companies by seamlessly integrating top-tier talent. What sets us apart is our in-depth understanding of each partner (being their best influencer!), addressing not only their needs but also capturing their essence.

Our partner is a rapidly expanding fintech, focused on providing flexible working capital and invoice advance solutions for businesses and entrepreneurs throughout Spain.

Mission:

As a Senior Data Engineer, your mission will be to build and evolve the data platform that powers critical business decisions, advanced analytics, and AI-driven products.

You will combine hands-on technical execution, helping define architecture, establish engineering best practices, and support the growth of the wider Data team.

This is a highly strategic role with direct impact on the company's ability to scale its data and AI capabilities.

The Role:

You will work within a modern cloud-based data ecosystem built around Databricks, AWS, and modern data engineering practices.

Your responsibilities will include:

• Participating in key decisions regarding the architecture and evolution of the data platform.

• Designing and building scalable, reliable, and efficient data pipelines.

• Enabling new Artificial Intelligence and Machine Learning use cases in production environments.

• Driving technical initiatives and contributing to the growth and maturity of the Data function.

• Optimizing data storage, processing, and performance within cloud environments.

• Ensuring high standards of data quality, governance, observability, and security.

• Collaborating closely with Product, Engineering, Data, and Business stakeholders.

• Supporting AI and ML initiatives through the creation of datasets, feature stores, monitoring, and platform capabilities.

• Defining engineering standards, deployment practices, and technical documentation.

• Providing mentorship through architecture reviews, code reviews, and technical guidance.

What we need:

• 5+ years of experience in Data Engineering.

• Proven experience building and scaling modern data platforms and data pipelines.

• Strong expertise in Python and PySpark.

• Hands-on experience working with Databricks in production environments.

• Experience with Medallion Architecture and modern data platform concepts.

• Understanding of Data Mesh principles, domain ownership models, and data products.

• Experience working with AWS cloud environments.

• Experience using Terraform and Infrastructure as Code practices.

• Strong knowledge of dbt for data transformation and modelling.

• Solid understanding of data governance, quality, observability, and reliability.

• Experience leading technical initiatives and collaborating with multidisciplinary teams.

• A mindset focused on business impact, ownership, and continuous improvement.

• Spanish and English

Nice to Have

• Experience supporting AI and Machine Learning products in production.

• Knowledge of MLOps tools and practices.

• Experience with streaming or near real-time data architectures.

• Cloud, Data, or Databricks certifications.

• Previous experience in fintech, SaaS, or other high-growth technology environments.

What we offer:

• Join a high-growth technology company at a pivotal stage of its journey.

• Build the core infrastructure and platform capabilities that will support future growth.

• 💡 Work on complex technical challenges with direct business impact.

• Flexible hybrid working model with remote options depending on location.

• Permanent contract.

• Flexible working hours.

• Private health insurance.

• 💳 Flexible benefits package.

• 🎉 Regular team events and company offsites.

• 📈 Strong opportunities for career growth and professional development.