Our Mission
Swapcard is the leading AI-powered event platform designed to drive revenue growth and foster meaningful connections at in-person and hybrid events.
We recognize the importance of teamwork in successful events; that's why Swapcard is fueled by a team of innovators who are passionate about helping organizers build future-proof events.
Our Vision
At Swapcard, we believe in the power of meaningful connections.
This belief fuels our commitment to pioneering modern solutions that empower organizers to create engaging event experiences.
Guided by our commitment to excellence and collaboration, we aim to redefine the landscape of event technology, setting new standards for engagement, accessibility, and impact.
Our Beliefs
At Swapcard, diversity is at the core of our success.
With 42 nationalities represented among our 180+ team members, we champion diversity as a catalyst for creativity, collaboration, and unparalleled innovation.
We believe that by embracing a multitude of backgrounds, cultures, and viewpoints, we can truly understand and cater to the needs of our global community of event organizers and participants.
Our full remote opportunities empower our team to thrive, no matter where they are in the world, fostering a culture of flexibility and inclusion.
What you will be doing?
Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python.
Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools.
Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data.
Set and ensure data engineering standards as part of the department goals.
Collaborate with other teams to ensure data engineering needs / requests are addressed.
Create and maintain documentations.
What you should have?
5+ years hands-on experience deploying code in production.
At least 2 years of exp with DBT with hands-on experience delivering transformation pipelines with Dbt.
Demonstrably deep understanding of SQL and data warehouse.
Hands-on experience implementing ETL.
Experience working with Python.
Experience working with a workflow orchestrator (Airflow, Dagster, Prefect, Kestra, ...)
At least 4 years of exp with a cloud data warehouse
Fluency in English.
Bonus Points
Experience with AWS (e.g : Redshift).
Experience with Dagster.
Experience with data vizualisation tools (e.g Tableau).
Knowledge in Infra toolchain (e.g Docker, Terraform, Helm).
Swapcard's Interview process
Our thorough interview process aims to identify exceptional talent to advance our mission while offering you a chance to explore your career potential at Swapcard.
1. Screening Interview with a recruiter from our people team.
2. A remote exercise to demonstrate and assess your skills.
3. Manager review with your future reporting manager
4. Leadership review with one of our department leaders
5. Reference check conducted by our people team
6. Offer
Swapcard's Values
Curious : We ask questions, try new things and take risks.
We learn from one another and see mistakes as opportunities to grow—what matters most is how we react and learn from them.
We are curious about what something is and why something is.
Innovation thrives when curiosity drives.
Human : At Swapcard, being human means fostering empathy, openness, and diversity to create a caring and collaborative community.
We're driven by a strong team spirit and a shared goal of building meaningful connections—both through our product and within our team.
Ownership : At Swapcard, we take responsibility and are accountable for our actions, driving success through initiative, trust, and accountability.
True ownership means more than just completing tasks; it's about being proactive, investing ourselves fully in the outcomes, and fostering a culture of trust.
Benefits & Reasons to Join Swapcard
Equal Opportunity
Swapcard is committed to upholding equal employment practices and making merit-based employment decisions.
We welcome individuals from all backgrounds, abilities, and experiences to apply, regardless of race, nationality, religion, sexual orientation, gender identity, pregnancy status, age, marital status, and status as a veteran
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Senior Data Engineer • Sorocaba, São Paulo, Brasil