Senior Data Engineer

Description

**SKEELO: EMBARK ON THE JOURNEY THAT PLACES READING AT THE HEART OF EVERYTHING. ️** **WHO WE ARE** Skeelo is a digital reading platform that connects people to e-books, audiobooks, and minibooks through an accessible and personalized experience. Since 2019, we’ve leveraged technology to democratize access to reading and amplify its impact on personal development. We believe reading goes beyond leisure: it is a powerful tool to broaden knowledge, strengthen critical thinking, and drive human development. **OUR VIBE** We are distributed across Brazil and the world, driven by innovation, agility, and continuous learning — values that embrace diversity and transform reading to fit people’s lives. We do all this with transparency in relationships, courage to innovate, focus on high performance, constant attention to delighting customers and readers, and agile deliveries that make a difference. Our work model is remote-first, maximizing the benefits of working from home: autonomy paired with self-responsibility. Yet we also value in-person connection and exchange; therefore, we hold occasional in-person gatherings in São Paulo \- SP to connect with fellow Skeelers. Don’t worry — Skeelo always organizes everything for you. The **Data Engineer** team needs someone — and we want you on board! **Your mission?** As a Senior Data Engineer, you’ll drive the evolution of our data platform by building scalable solutions in a high-volume environment and collaborating across teams to turn data into business value. Your day-to-day at Skeelo will look like this: * Develop and enhance ETL pipelines for data ingestion, transformation, and availability. * Build integrations across diverse data sources, ensuring quality, performance, and standardization. * Develop solutions in Python and Spark, operating on AWS cloud via the Databricks platform. * Monitor and improve production pipelines, ensuring reliability and process efficiency. * Collaborate closely with Analytics, Product, and Engineering teams to meet new data requirements. * Ensure data is available with high quality and low latency for consumption across company departments. * Contribute to improvements in architecture, best practices, and the continuous evolution of data engineering. To succeed, you’ll need: * Solid experience as a Data Engineer, developing and maintaining production data pipelines. * Experience with AWS, Python, Databricks, and batch/streaming ETL processes. * Knowledge of relational and non-relational databases, plus tools such as Kafka, Kibana, and Elasticsearch. * Strong communication skills to collaborate across teams and translate business needs into technical solutions. * English proficiency sufficient for reading and understanding technical documentation. It would be great if you also had: * Experience in high-scale technology companies or fintechs. * Hands-on experience with Data Lakes and modern data architectures. * Experience working in environments handling large volumes of data. * Ability to document solutions and share knowledge effectively with the team. **And the benefits? We take great care of those who build this with us.** * Health insurance (fully covered, no co-payment for you and your family) \+ dental and life insurance * Flexible VA/VR via Caju (real freedom of use) * Comprehensive well-being: Totalpass (physical activity) \+ ZenKlub (mental health) * Annual PPR tied to goals and impact * Access to Skeelo Premium \+ Book Club with monthly e-book * Childcare allowance \+ extended parental leave * Partnerships with language schools: Berlitz and Open English * Extended São Paulo holidays \+ paid year-end recess * Birthday day off Want more details? Check out our careers page: **https://skeelo.com/pt/carreiras/** **IT’S A MATCH? THEN COME JOIN US!** If you seek growth and want to make an impact by enabling access to reading, come build your career with us. This key role could be yours — what are you waiting for to apply? **\#WorthBeingASkeeler**