We’re looking for a hands-on and strategic Data Engineering Lead to drive our data engineering efforts, take organizational ownership of the area, and guide a growing team of engineers. You’ll be responsible for designing scalable, cloud-native architectures, optimizing data pipelines, and implementing a modern self-service data platform across the company.

In this role, you will bridge the gap between complex technical execution and business strategy, maintaining direct ownership over the platform's long-term evolution.

What challenges you'll be solving 🚀

1. People Management & Growth: Lead, mentor, and directly manage the data engineering team, taking responsibility for their career development, hiring, and setting operational standards.
2. Modern Architecture Design: Design and implement scalable, reliable, and secure data pipelines and data lake/lakehouse architectures within a cloud-native product ecosystem.
3. Self-Service Data Platform: Drive the transformation of our data infrastructure toward a self-service model, ensuring high data reliability, governance, versioning, and quality control.
4. Cross-functional Collaboration: Partner with data analysts, data scientists, and business stakeholders to translate complex real-world data problems into robust, production-grade products.
5. Performance Optimization: Own and optimize end-to-end ETL/ELT workflows, minimizing downtime and ensuring the infrastructure scales pragmatically with the company's growth.

What you’ll need 🤝 (Must-have)

1. Proven People Management Experience: Strong track record of directly managing teams of Data Engineers (including 1-on-1s, performance reviews, and team scaling), specifically within Product-driven or Scale-up environments. Profiles coming exclusively from traditional IT Consulting or enterprise-corporate governance will not be considered.
2. Hands-on Technical Background: Deep, recent technical depth in cloud-native data platform engineering, with the ability to participate in technical decisions, code reviews, and pipeline optimization.
3. Mandatory AWS Cloud Stack: Strong background designing and implementing modern data platforms in cloud environments natively with AWS.
4. Modern Data Stack Expertise: Solid, production-grade experience with Kafka, Airflow, dbt, and cloud data warehouses (ideally Redshift, though Snowflake or BigQuery is also valuable).
5. Core Languages: Advanced knowledge of Python and SQL.
6. DevOps & Data Governance: Familiarity with DevOps culture, CI/CD practices, Infrastructure as Code (e.g., Terraform), and deep understanding of data lineage and quality controls.
7. Language: Fluent in English (cross-functional communication with international stakeholders).

Nice to have ➕

1. Experience working closely with Data Analytics or BI teams, with the ability to guide analytics engineering efforts and design clean dimensional layers.
2. Experience with real-time data streaming architectures and messy, financial/transactional datasets.

What we offer 😎

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.

One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

1. 23 vacation days + 2 days of free disposal per year.
2. Professional development that includes access to a language learning platform.
3. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
4. Health insurance discounts with Sanitas and DKV.
5. Hybrid work from Barcelona or full remote from Spain.
6. Flexible working hours.
7. A personal budget for professional development.
8. Office workshops and meet-ups to encourage community participation and career growth.

Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.

1. Interview with People Team
2. Technical take-home assessment
3. Live Peer review of the assessment
4. Interview with the Director of Engineering
5. Meet the team