Sr Data Engineer (Fintech) - Merlin Digital Human Resources SL
hace 15 horas
Barcelona
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 firm based in Barcelona, 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 with technical leadership, 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. 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.