Data Engineer

* Before applying for this role, please note that this job must be performed in Spain. Only candidates currently residing in Spain or willing to relocate will be considered.

Are you ready to be inspired, challenged, motivated to do your best, and have fun while you're at it? We're on the lookout for a Data Engineer to join our team at Mimacom, where we play off each other's strengths to create exciting digital products for customers all over the world.

At Mimacom, we stay ahead of the curve. We develop digital products that enable businesses to achieve faster, easier, and more impressive results — whether it's in banking, retail, manufacturing, life sciences, or beyond. Right now, our software touches the lives of 50 million users every single day.

Behind every one of our products is a brilliant group of people who share the same values, working collaboratively to create real solutions for real problems. Join us at Mimacom as a Data Engineer , and let's create something amazing together

What You’ll Do

As a Data Engineer at Mimacom, you’ll design and maintain scalable data solutions that power analytics and machine learning across our projects. Your role will focus on building robust pipelines, optimizing performance, and collaborating with stakeholders to ensure data quality and governance. Your responsibilities will include:

- Design and optimize data pipelines for cleaning, integrating, and transforming large datasets.
- Develop and maintain cloud-based infrastructure using Azure services like Data Factory, Databricks, and Data Lake Storage.
- Create dimensional data models and data warehouses to support reporting and business intelligence.
- Write efficient Python, SQL, and PySpark code , ensuring scalability and high performance.
- Collaborate with analysts, data scientists, and stakeholders to deliver reliable, high-quality data solutions.

What You'll Need

We’re looking for a proactive and detail-oriented data engineer passionate about building scalable, cloud-based data solutions. Ideally, you bring:

- 3+ years of experience designing and maintaining data pipelines in a software engineering environment.
- Strong knowledge of software engineering best practices such as OOP, TDD, CI/CD, and version control.
- Proven expertise in PySpark and SQL , including query optimization and understanding Spark internals.
- Hands-on experience with Azure services like Databricks, Data Factory, Synapse, DevOps, and Data Lake Storage.
- Solid understanding of dimensional data modeling and data warehousing principles.
- Excellent problem-solving and analytical skills , combined with strong communication abilities.
- Fluent in Spanish and English .
- Familiarity with containerization tools such as Kubernetes and Docker; experience with Kafka is a plus.

What to Expect:

Your personal and professional growth is important to us, and we offer a range of benefits and opportunities to support your journey. Here's what you can expect when joining our team:

- Holidays & Flextime: You will enjoy 30 days of vacation. We understand that while you love your work, it’s just one part of a whole person. That’s why we allow you to work in a way that accommodates your lifestyle and other commitments.
- Choose your OS : Whether you prefer macOS or Windows, we’ll provide the system of your preference.
- Career Growth: We work hand-in-hand with you to create a plan that fuels your professional development and helps you make an impact on your projects.
- Team Get-Togethers: From sharing a meal to team retreats, we invest in the things that make you feel part of a community. You don’t have to come, but it'd be great to have you there.

At Mimacom, we know that creative minds thrive on exciting projects. Join our team and be part of a lively community that’s all about working together, growing together, and coming up with innovative ideas and technologies

Our company is committed to fostering a diverse and inclusive workplace. We encourage candidates from all walks of life to apply, as we believe in providing equal opportunities to everyone.