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 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.

• 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.

• 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.

• 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.

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