Data Engineer Sênior (People Analytics)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer Sênior (People Analytics) in Brazil.

This role is at the core of a fast-evolving People Analytics & AI ecosystem, where data is a strategic driver for decision-making. You will be responsible for building and scaling a modern data platform focused on governance, reliability, and performance, enabling high-quality insights across HR and organizational metrics. Acting as a technical reference for the OneLake architecture, you will design and maintain robust data pipelines, integrate multiple People data sources, and ensure end-to-end data integrity. The environment is highly collaborative, agile, and innovation-driven, with strong emphasis on ownership and technical excellence. You will work with large-scale distributed data systems and modern Microsoft Fabric technologies, contributing directly to how data empowers workforce decisions. This is a senior hands-on role with strong impact on data strategy, architecture, and analytics enablement.

Accountabilities:

• Design, build, and maintain scalable data pipelines for ingestion, processing, and storage of large-scale datasets using Microsoft Fabric.
• Develop and evolve ETL/ELT processes integrating multiple People-related data sources and systems.
• Implement data quality, validation, and observability frameworks, ensuring accuracy and reliability of People metrics.
• Define and scale OneLake architecture, including data layers, standards, naming conventions, and governance practices.
• Manage the full data lifecycle (ingestion, transformation, storage, and consumption) ensuring integrity, traceability, and accessibility for analytics tools such as Power BI and APIs.
• Implement and enforce data governance, security, and LGPD compliance practices including RBAC, auditing, and data masking.
• Optimize performance and scalability of data workloads using Spark, SQL, partitioning strategies, and cost-efficient architecture design.
• Contribute as a senior individual contributor, promoting engineering best practices such as code reviews, documentation, and automation.
• Participate in innovation initiatives, proposing improvements in data architecture, cataloging, automation, and analytics enablement.

Requirements:

• Strong proficiency in SQL for complex and optimized data querying.
• Hands-on experience with Microsoft Fabric ecosystem, including OneLake, Lakehouse/Warehouse, Data Factory, Spark, notebooks (Python/PySpark), and shortcuts.
• Advanced experience with Python and PySpark for data engineering tasks.
• Solid knowledge of distributed processing and Spark-based architectures.
• Experience with Git workflows (GitHub), including pull requests, code reviews, and collaborative development practices.
• Strong understanding of data engineering best practices, including testing, documentation, automation, and code quality standards.
• Experience in data modeling and architecture (Data Lake, Data Warehouse, Data Mart) and building analytical datasets.
• Ability to work autonomously with ownership, prioritization skills, and problem-solving mindset.
• Experience handling sensitive and confidential data with strong awareness of LGPD and data security principles.
• Ability to manage multiple priorities in complex environments with clarity and organization.

Nice to have:

• Experience with People Analytics and HR data environments.
• Knowledge of Power BI and analytical data consumption modeling.
• Experience with data governance in Microsoft Fabric (catalog, lineage, RBAC, auditing).
• Familiarity with data masking, anonymization, and privacy practices.
• Exposure to Azure or AWS in data engineering contexts.
• Experience with APIs for data consumption or exposure.
• Interest or experience in Artificial Intelligence applied to data.
• Advanced English.

Benefits:

• Health and dental insurance with no copayment.
• Life insurance and medication support.
• Financial wellness support and mental health platform with therapy/nutrition sessions.
• Flexible food allowance via Visa card.
• Home office support, equipment, and furniture assistance.
• Access to coworking spaces across Brazil.
• Education subsidy covering up to 70% of courses, degrees, and languages.
• Internal training platform and learning resources.
• Stock options plan and annual performance bonus.
• Day off on birthday, happy hour support, and referral bonuses.
• Wellness benefits including gym support and physical activity incentives.

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