Join us in transforming the banking industry with cutting-edge technology.

We are currently looking for a Data Engineer to join our Big Data team.

This role offers an exciting and diverse opportunity, involving the development of data product processes and dashboards within a cutting-edge technological environment.

• Design, build, and maintain scalable and reliable data pipelines.
• Develop efficient ETL/ELT processes using Python.
• Enrich and integrate data from multiple sources via RESTful APIs.
• Work with PostgreSQL and other data stores to model, ingest, and serve structured data.
• Build and manage infrastructure on AWS.
• Ensure high data quality, reliability, and security across all systems.
• Implement and maintain CI/CD pipelines for data workflows.
• Collaborate cross-functionally with data scientists, analysts, and product teams.

• 5+ years of experience as a Data Engineer or in a similar role.
• Expert in Python and its ecosystem for data processing.
• Hands-on experience with Apache Kafka, Apache NiFi, Apache Airflow, and PostgreSQL in production.
• Strong understanding of REST APIs (consuming and integrating).
• Experience with SQL & NoSQL databases (e.g., PostgreSQL, Oracle, MongoDB, DynamoDB, Cassandra).
• Familiarity with data warehouse platforms (e.g., Redshift, BigQuery, Snowflake).
• Solid experience with AWS services relevant to data engineering.
• Experience with containerization technologies like Docker.
• Proficiency in building and deploying data solutions with CI/CD pipelines.
• Understanding of data governance, privacy, and security best practices.

Nice to Have:

• Applicative DBA experience with relational databases (e.g., PostgreSQL, MySQL).