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 .