[Hiring] Senior Data Engineer @Indicium

Role Description

The Senior Data Engineer will act as the technical reference for data platforms on projects for industrial clients, modernizing lakehouses on Azure Databricks so they can support domain-based data products and AI use cases in operations. The role spans from diagnosing legacy platforms to designing the architecture for ingestion, environments, security, and cost control in production.

The position involves:

• Redesigning ingestion patterns with history preservation.
• Separating development and production environments.
• Protecting sensitive data in compliance with the LGPD (Brazilian General Data Protection Law).
• Reducing costs measurably.
• Leading platform decisions within the squad.
• Documenting decisions and mentoring mid-level and junior data engineers.
• Preparing the handover to the support team.

We are looking for a hands-on professional who writes code, defends architecture decisions with data, and is driven to see stable, secure, and efficient platforms running in real-world operations.

Qualifications

• Senior experience in production data engineering with Python, PySpark/Spark SQL, and Delta Lake.
• Production experience with Databricks: Unity Catalog, Jobs/Lakeflow, Databricks Asset Bundles, and SQL Warehouse.
• Strong command of ingestion patterns: CDC, incremental loads, Auto Loader, JDBC, REST APIs, and schema evolution.
• Experience with infrastructure as code (Terraform) and CI/CD for data platforms.
• Hands-on experience with data security and privacy: personal data masking, access models, and LGPD.
• Track record of reducing costs on cloud data platforms.
• Experience taking over and refactoring legacy data platforms.
• Ability to communicate technical and cost trade-offs to technical leadership.
• Autonomy to deliver at a fast pace in legacy environments.
• Fluent Portuguese and intermediate/advanced English.

Requirements

• Redesigning ingestion with a raw/landing layer that preserves history.
• Defining the lakehouse architecture: medallion layers, separate DEV/HML/PRD environments, and a domain-based Unity Catalog strategy.
• Implementing data security and privacy by removing credentials from code.
• Orchestrating pipelines with Lakeflow Jobs and Databricks Asset Bundles.
• Ensuring platform reliability through alerts with clear ownership and escalation.
• Leading platform FinOps with measurable cost reduction.
• Taking over and stabilizing legacy pipelines.
• Supporting the ingestion of industrial time series for operational intelligence products.
• Reviewing code, writing ADRs, and mentoring mid-level and junior data engineers.
• Having the freedom and critical thinking to propose and challenge data engineering solutions.

Benefits

• Work on AI projects that actually transform the world's largest enterprises.
• Use cutting-edge AI tools and technologies every single day.
• Collaborate with global teams on high-impact, real-world solutions.
• Be backed by a supportive team that's genuinely in your corner.
• Benefit from serious investment in your learning and career growth.
• Earn competitive compensation and benefits.
• Enjoy company events and gatherings that bring the global team together.
• Join a fast-growing company where ambitious careers thrive.