Sr Data Engineer

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:

We are looking for a Senior Data Engineer with solid experience in data engineering and modern cloud data platform architecture. This role combines hands-on technical execution with technical leadership and coordination capabilities.

You will work primarily on our stack based on Databricks and AWS, actively participating in the design, evolution, and operation of the data platform.

The Role:

Participating in key architecture decisions and the evolution of the data platform.

Designing scalable solutions for pipelines, data modeling, and data governance.

Contributing to the enablement of new AI and ML use cases in production.

Technically leading initiatives and supporting the growth of the data team.

Designing, implementing, and maintaining scalable and efficient data pipelines.

Technically leading the evolution of the data platform and engineering best practices.

Optimizing data storage and processing in cloud environments.

Ensuring data quality, traceability, governance, and security.

Collaborating with business and technology teams to define product-oriented solutions.

Participating in AI and ML initiatives by enabling datasets, feature sets, and observability and monitoring capabilities.

Defining development, deployment, and technical documentation standards.

Providing technical guidance to the data team through mentoring and code/architecture reviews.

What we need:

Over 5 years of experience in data engineering.

Solid experience building modern data platforms and pipelines.

Proficiency in Python and PySpark.

Experience working with Databricks in production environments.

Experience with medallion architecture and data mesh principles.

Experience working with domain ownership models and data products.

Experience with cloud infrastructure in AWS.

Experience working with Terraform and Infrastructure as Code (IaC) practices.

Experience with data modeling and transformation using dbt.

Strong knowledge of data governance, quality, and observability.

Ability to technically lead initiatives and collaborate with multidisciplinary teams.

Product-oriented mindset focused on impact and continuous improvemen

English / Spanish

A plus:

Experience in environments with AI and ML use cases in production.

Knowledge of MLOps tools and practices.

Experience with streaming or near real-time processing.

Cloud or data-related certifications

What we offer:

A committed and fast-growing team. You will be joining at a key moment, with a lot to build and a real opportunity to make an impact.

Hybrid work model in Barcelona with flexible hours.

Offices near the beach with a terrace and pet friendly environment.

Flexible compensation plan.

Health insurance fully covered by the company.

2 team events per year to disconnect and recharge.