Engenharia de Dados (Databricks)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenharia de Dados (Databricks) based in Brazil. This is a senior-level Data Engineering opportunity focused on building and evolving scalable cloud-based data solutions. You will work hands-on with Databricks and modern data technologies to transform complex requirements into robust technical solutions. The role involves designing data pipelines, processing large volumes of information, and contributing to cloud data architecture. You will have autonomy to propose improvements and help ensure that data platforms remain efficient, scalable, and sustainable. Strong expertise in Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture will be central to your work. You will also contribute to performance, governance, monitoring, orchestration, and the ongoing evolution of data solutions. The environment encourages collaboration, continuous learning, innovation, and a strong focus on delivering meaningful business outcomes. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenharia de Dados (Databricks) based in Brazil. This is a senior-level Data Engineering opportunity focused on building and evolving scalable cloud-based data solutions. You will work hands-on with Databricks and modern data technologies to transform complex requirements into robust technical solutions. The role involves designing data pipelines, processing large volumes of information, and contributing to cloud data architecture. You will have autonomy to propose improvements and help ensure that data platforms remain efficient, scalable, and sustainable. Strong expertise in Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture will be central to your work. You will also contribute to performance, governance, monitoring, orchestration, and the ongoing evolution of data solutions. The environment encourages collaboration, continuous learning, innovation, and a strong focus on delivering meaningful business outcomes. Accountabilities Design, develop, and continuously evolve scalable data solutions within cloud environments. Build, maintain, and optimize data pipelines for processing and transforming large volumes of data. Use Databricks, Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture to deliver robust data engineering solutions. Develop and manage Databricks Workflows and Jobs, ensuring effective pipeline orchestration. Apply best practices for data performance, governance, monitoring, reliability, and operational support. Analyze technical and business requirements and translate them into sustainable, high-quality data solutions. Identify opportunities to improve architecture, processes, automation, and overall efficiency. Work autonomously while collaborating with data and technology teams to evolve the organization's data capabilities. Requirements Solid professional experience as a Senior Data Engineer. Strong hands-on expertise with Databricks and cloud-based data architecture. Proven experience designing, developing, and evolving data pipelines. Strong knowledge of ETL/ELT processes and large-scale data processing. Professional experience with Python and PySpark/Spark. Solid SQL skills. Experience with Delta Lake and Lakehouse architecture. Knowledge of Databricks Workflows/Jobs and data pipeline orchestration. Understanding of best practices related to performance optimization, data governance, monitoring, and solution maintenance. Hands-on and autonomous profile, with the ability to take ownership of technical challenges and drive solutions forward. Strong analytical and problem-solving skills, with a continuous improvement mindset. Benefits Permanent CLT employment contract. 40-hour workweek with flexible working hours. Fully remote work model. SulAmérica health and dental insurance, including eligible dependents. Flexible meal and food allowance through Caju Benefits. Life insurance. Home-office allowance through Caju Benefits. Wellhub (Gympass). TotalPass. SESC benefits, including eligible dependents and access to services throughout Brazil. Corporate learning through an internal university with more than 20,000 courses. Language Academy for professional language development. Internal knowledge-sharing sessions, talks, and technical chapters. Pet health plan through Guapeco. Onhappy travel and leisure benefit. Option to use your own notebook through a monthly BYOD allowance or use company-provided equipment. Birthday cake benefit. Referral reward program for recommending new employees. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1