Data Engineer

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.

• 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.

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., + 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. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

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., Volver a la última búsqueda Trabajos ) Cataluña ) Barcelona ) Senior Data Engineer (Fintech) ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

Profesiones

• Técnico
• Recepciónista
• Administrador
• Ventas
• Enfermero