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**.