Software Engineer
Lead data engineering initiatives, designing and maintaining scalable pipelines and data warehouses using Python, SQL, Spark, AWS services, and Kafka for real-time processing to support fintech payment solutions.
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.
About the role 🤓
We’re looking for a hands-on and strategic Data Engineering Lead to drive our data engineering efforts and guide a growing team of engineers. You’ll be responsible for designing scalable data architectures, optimizing data pipelines, and ensuring data reliability across the company. Depending on your seniority and profile, you could also take ownership of data analyst workflows and team management.
What challenges you'll be solving 🚀
Lead, mentor, and grow the data engineering team, setting best practices in architecture, development, and operations.
Design and implement scalable, reliable, and secure data pipelines and data lake architectures.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver robust solutions.
Own the development and maintenance of ETL/ELT processes, data quality, versioning, and governance.
Optimize performance across data workflows, ensuring efficiency and minimal downtime.
Champion a data-first culture, ensuring our data infrastructure scales with the company’s needs.
Support the potential integration of data analyst workflows and oversight, depending on your scope and experience.
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
Posted June 21, 2026