Engenheiro de Dados PL/SR (Consultoria)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de Dados PL/SR (Consultoria) based in Brazil.

We are looking for a Data Engineer to work on strategic data projects, helping organizations transform large volumes of information into reliable and valuable insights. This role focuses on designing, building, and optimizing modern data architectures using advanced cloud and big data technologies. You will contribute to the development of scalable data pipelines, Lakehouse environments, and governance practices that support business decision-making. The position requires strong technical expertise in Databricks, Delta Lake, SQL, and data modeling, combined with a consulting mindset. You will collaborate with technical and business teams to implement efficient solutions, improve data quality, and ensure high-performance analytics environments. This is an opportunity for professionals passionate about data engineering, innovation, and building modern platforms that create measurable impact.

Accountabilities:: As a Data Engineer, you will act as a technical consultant in strategic data initiatives, designing and implementing scalable solutions while ensuring performance, reliability, and governance across data environments.

Act as a consultant in strategic business projects focused on data engineering using Databricks platforms.

Design, develop, and maintain scalable data pipelines using ETL/ELT processes.

Implement best practices for processing large volumes of data, ensuring performance, availability, and reliability.

Optimize queries and data models to improve analytical performance and efficiency.

Design and implement modern Data Lakehouse architectures using the Medallion approach (Bronze, Silver, Gold).

Support the creation and evolution of modern Data Warehouse models, including Star Schema and Snowflake architectures.

Apply Big Data best practices within Databricks and Delta Lake environments.

Work with open data formats such as Delta Lake, Iceberg, Parquet, and Avro.

Ensure data governance practices, including access control, security, and version management.

Refactor and optimize existing pipelines to improve scalability and operational efficiency.

Collaborate with stakeholders to define technical solutions aligned with business objectives.

Requirements:

The ideal candidate has strong experience in data engineering, modern data platforms, and scalable analytics architectures, with the ability to solve complex data challenges in consulting environments.

Solid experience with Databricks and Delta Lakehouse architecture.

Strong SQL knowledge and experience optimizing queries for distributed data processing.

Experience designing and implementing ETL/ELT pipelines and scalable data architectures.

Knowledge of incremental data processing pipelines, including UPSERT, MERGE, and CDC concepts.

Experience with analytical data modeling, including Star Schema and Snowflake models.

Experience managing Databricks workloads, including pipeline refactoring and performance tuning.

Understanding of modern Data Warehouse technologies such as Databricks, Snowflake, BigQuery, or Redshift.

Familiarity with data governance practices and access management.

Ability to work collaboratively with technical teams and business stakeholders.

Nice-to-have skills:

Experience with Unity Catalog for governance and access control in Databricks.

Experience with AWS data architectures and services such as S3, IAM, Glue, and EMR.

Experience provisioning and configuring Databricks clusters from scratch.

Knowledge of infrastructure, networking, permissions, and integration with data catalogs.

Experience designing enterprise-scale cloud data solutions.

Benefits:

The position offers a flexible and remote-friendly environment with benefits designed to support professional development, health, and work-life balance.

Fully remote work model with flexibility to work from anywhere.

Health and dental insurance through Bradesco.

Access to Conexa Saúde and Psicologia Viva wellness platforms.

Wellhub membership (formerly Gympass).

Partnership with Open English.

Home office allowance through Caju.

Birthday day off.

22 paid business days of annual break.

PJ contract model with fixed monthly compensation.

Opportunity to work on innovative data projects using modern technologies.

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