Senior Data Engineer

Description

Job Summary: We are seeking a Data Engineer to design, develop, and maintain data pipelines, with emphasis on communication, planning, and continuous innovation. Key Highlights: 1. Strategic contribution to the Data Team 2. Focus on innovation and financial freedom 3. Collaborative and friendly environment **JOB DESCRIPTION** --------------------- Toro Corretora is now **Santander Corretora**, and its DNA of agility, technology, and Zero Commission Trading merges with Santander’s global strength and credibility. Our purpose is to generate financial freedom for people. Santander Corretora serves as the complete investment house—offering robustness and infrastructure for trading—while the Toro brand functions as Santander Brasil’s dedicated trading platform for market enthusiasts. We pursue continuous innovation to help customers discover the best opportunities in an easy and secure way. To achieve this, we combine people and technology, valuing and preserving our team’s collaborative, diverse, and innovative spirit. We seek a solution-oriented individual with strong communication skills for a strategic role within the Data Team. To succeed, you must be curious, eager to learn, and ready to apply your knowledge to solve data-related problems. Additionally, discipline is critical—we seek individuals capable of delivering results while progressively developing autonomy in their day-to-day work. Our work environment is friendly and collaborative, and we highly value it; therefore, positive communication, as well as giving and receiving feedback constructively, is essential. **RESPONSIBILITIES AND ATTRIBUTES** ----------------------------------- The Data Engineer will be responsible for designing, developing, and maintaining data pipelines across diverse sources and destinations. Excellent communication skills are essential, as understanding user needs is paramount. Furthermore, planning, business acumen, and attention to security, cost, and quality are integral to daily responsibilities. **What we need from you:** * Plan and help us build a simple and scalable data architecture; * Formulate hypotheses and conduct tests that can be quickly validated or discarded; * Assist data analysts in obtaining the data required for their analyses; * Share knowledge with colleagues; * Document and catalog loaded data; * Monitor data volume and runtime per pipeline; * Demonstrate strong communication skills; * Pay close attention to detail and possess well-developed organizational skills, including task prioritization and deadline adherence. **REQUIREMENTS AND QUALIFICATIONS** ------------------------------ * Prior experience with extraction, transformation, and loading (ETL); * Knowledge of deploying and maintaining DAGs; * Ability to structure concepts and problems to manage projects from inception through solution proposal; * Familiarity with tools such as DataFactory and Databricks; * Strong ability to communicate ideas and deliver presentations; * Experience with SQL and Python; * Experience with AWS (Athena / S3 bucket) and Airflow; * Experience with CI/CD; * Knowledge of Data Governance and Data Quality. **How you can impress us?** * Familiarity with tools such as BigQuery, Delta Lake, and Cloud Storage; * Knowledge of Infrastructure-as-Code (IaC) and containers; * Experience with Azure DevOps / Git; * Experience with SonarCloud, Veracode, or similar tools. **ADDITIONAL INFORMATION** -------------------------- Hybrid work in São Paulo (Santo Amaro), 3 days per week **Benefits:** * Profit Sharing Program (PLR); * Health Insurance, Dental Insurance, and Life Insurance; * Pluxee (meal voucher and/or food allowance); * Wellhub — gym membership and mental health support program; * Childcare allowance; * Extended Maternity/Paternity Leave; * Birthday day off; * Transportation allowance.