Senior Data Engineer (Data & AI)

Indicium AI; São Paulo; Remote; BRL 260,000 - 380,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Career growth

Job summary

Indicium AI is seeking a Senior Data Engineer to act as the technical reference for data platforms on industrial projects. You will modernize lakehouses on Azure Databricks to support data products and AI use cases, while ensuring security, cost control, and compliance with LGPD.

You will mentor engineers and hand over to the support team, delivering stable, scalable production platforms. Ideal candidates have senior production data engineering experience with Python, PySpark, Delta Lake, and

Qualifications

• 5+ years in production data engineering.
• Experience with Python, PySpark/Spark SQL, and Delta Lake.
• Fluent Portuguese and intermediate/advanced English.

Responsibilities

• Redesign ingestion patterns with history-preserving layers.
• Define lakehouse architecture and environment separation (DEV/HML/PRD).
• Implement data security and LGPD-compliant access controls.
• Lead platform FinOps and cost reduction initiatives.
• Mentor junior data engineers and document architectural decisions.

Skills

Python

PySpark

Delta Lake

Portuguese fluency

Tools

Databricks Unity Catalog

Databricks Jobs/Lakeflow

Databricks Asset Bundles

SQL Warehouse

Azure Data Lake Storage Gen2

Azure Key Vault

Job description

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

About Indicium AI

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About The Opportunity

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), and reducing costs measurably. It also includes leading platform decisions within the squad, documenting them, and mentoring mid-level and junior data engineers, as well as 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.

Key Responsibilities

• Redesigning ingestion with a raw/landing layer that preserves history, replacing full loads with overwrite by incremental and CDC patterns from SQL Server staging and source systems (ERP, HR, maintenance, SSMA, and operational systems).
• 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 (Key Vault, secret scopes, and service principals) and applying column masks, row filters, and ABAC in Unity Catalog to classified personal data, in compliance with the LGPD.
• Orchestrating pipelines with Lakeflow Jobs and Databricks Asset Bundles, using infrastructure as code (Terraform) and CI/CD on Azure DevOps, including linting, testing, and promotion across environments.
• Ensuring platform reliability through alerts with clear ownership and escalation, data refresh SLAs, data quality expectations, and observability using Databricks system tables.
• Leading platform FinOps (serverless vs. classic compute, cluster policies, budgets, and tags), with measurable cost reduction.
• Taking over and stabilizing legacy pipelines, leading incident handling, creating runbooks, and transferring knowledge to the support team.
• Supporting, when needed, the ingestion of industrial time series (process historian) 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.

Preferred Qualifications & Experience

• 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.
• Experience with Azure data services: ADLS Gen2, Key Vault, Entra ID, and networking fundamentals (Private Link, VNet).
• 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, including automated pipeline testing.
• 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 and to defend architecture decisions against third-party recommendations.
• Autonomy to deliver at a fast pace in legacy environments, without a long learning curve on the stack.
• Fluent Portuguese and intermediate/advanced English.

Nice to haves

• SAP data integration (S/4HANA, SAP Datasphere / Business Data Cloud, Delta Sharing) and TOTVS Protheus.
• Experience with industrial data: AVEVA PI System / PI Web API, OPC UA, MQTT, Structured Streaming, or Azure Event Hubs.
• Knowledge of dbt.
• Experience migrating legacy BI (Qlik to Power BI).
• Experience with SOX / ITGC controls on data platforms.
• Databricks Data Engineer Professional or Azure certification.
• Experience with heavy industry data.

Why Indicium AI

• 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

Selection Process Stages

• Interview with Talent Acquisition
• Technical Challenge
• Interview with Technical Management
• Evidence Storage

As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.

Some of the benefits offered by Indicium:

Our Culture

• Modern, transparent, and inclusive management.
• Dynamic environment, open to innovation and creativity.
• Data-driven culture.
• Autonomy and engagement.
• Light and relaxed atmosphere with a focus on challenges.
• High-growth environment (Fast-paced scaling).
• Remote work and flexible hours.

For Your Professional Development