# Senior Data Engineer (Data & AI)

**Empresa:** Indicium
**Local:** São Paulo, SP
**Modalidade:** Remoto
**Contrato:** CLT
**Publicada em:** 2026-11-06

## Descrição

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.

As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.

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.

Availability for a hybrid model, 2 days a week in São Paulo.

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

Structured career path.

Feedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).

Mentorship Program for dedicated support during onboarding.

Experienced and collaborative team.

High-impact projects.

Agile methodologies and cross-functional teams.

Free weekly English conversation classes.

Certification Program (full financial support and performance rewards).

Tutoring opportunities at Indicium Academy.

Internal initiatives such as "Tech Tracks" and "Databloggers."

For Your Health and Wellbeing

Global offices in Florianópolis, São Paulo, New York, Lisbon, and London.

In-office snacks and beverages.

Points and rewards program.

Psychological support via "Programa Oxigênio" and Zenklub.

Birthday day off.

Weekly happy hours and game nights (both remote and in-person).

Wellhub (formerly Gympass).

Bradesco Health Insurance.

Flash Card (flexible benefits - total R$ 1,350.00).

Annual bonus (performance-based).

Referral Program (R$ 250 per successful hire).

Extended maternity leave (6 months).

## Habilidades

- Python
- PySpark
- Spark SQL
- Delta Lake
- Databricks
- Azure
- Terraform
- CI/CD

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