Engenheiro de Dados

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engenheiro de Dados in Brazil.

This is a senior data engineering role focused on designing, building, and scaling modern data platforms to support advanced analytics, business intelligence, and AI-driven initiatives. You will work in a highly technical environment, leveraging cloud-native architectures and big data technologies to transform large and complex datasets into reliable, high-quality data products. The role involves hands-on development of data pipelines, real-time processing systems, and scalable data infrastructures. You will collaborate closely with analytics, engineering, and business teams to ensure data is structured, accessible, and ready for strategic decision-making. Operating in a remote-first setup, you will contribute to high-impact initiatives within a data-driven and innovation-focused organization. This position is ideal for someone who enjoys solving complex data challenges and working with modern distributed systems at scale.

Accountabilities:

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and process data from multiple sources into data lakes and data warehouses.
• Develop and optimize data architectures using relational and NoSQL databases, ensuring performance, scalability, and data integrity.
• Implement and manage big data processing solutions using distributed computing frameworks, with a strong focus on Databricks environments.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy, automate, and maintain data infrastructure using modern DevOps and IaC practices.
• Build and support real-time and batch processing pipelines using technologies such as Spark, Delta Lake, and structured streaming.
• Collaborate with data analysts, data scientists, and business stakeholders to ensure data availability for dashboards, analytics, and AI/ML models.
• Contribute to the continuous improvement of data platforms, ensuring governance, quality, and scalability standards are met.

Requirements:

• Solid experience as a Data Engineer working with large-scale data systems and cloud-based architectures.
• Strong hands-on expertise in Databricks, Apache Spark, Delta Tables, Python, SQL, and Git.
• Experience designing and implementing ETL/ELT pipelines and data lake/lakehouse architectures.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with distributed data processing, including Spark Structured Streaming and real-time data pipelines.
• Familiarity with Delta Sharing, MLflow, DABs (Databricks Asset Bundles), and DLT (Delta Live Tables).
• Experience with infrastructure automation and DevOps practices (CI/CD, IaC).
• Exposure to machine learning workflows and agent-based frameworks (e.g., LangChain or similar) is a plus.
• Experience in the financial sector is highly valued.
• Strong analytical mindset, problem-solving skills, and ability to work collaboratively in cross-functional teams.
• Databricks Professional Certification is strongly preferred.

Benefits:

• Competitive compensation aligned with senior data engineering roles.
• Remote-first work model with flexibility.
• Health and dental insurance coverage for employees and dependents.
• Wellness support including psychological consultations and nutrition assistance.
• Gympass access and wellness programs such as massage sessions.
• Life insurance coverage.
• Meal and food allowances.
• Education discounts and language learning partnerships.
• Transportation support options (voucher, shuttle, or parking assistance).
• Childcare assistance and additional family-oriented benefits.
• Birthday day-off and flexible perks for work-life balance.

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