Lead Data Engineer | REF#308032

BairesDev; Belo Horizonte; On-site; BRL 657,000 - 986,000; Full time

Benefits offered by this job

Excellent USD compensation

Paid parental leave

Vacation & national holidays

Multicultural work environment

Global Top 1% talent

Job summary

BairesDev is seeking a Lead Data Engineer to drive the design and optimization of scalable data pipelines across our data platforms. You will lead technical initiatives, mentor engineers, and align work with business goals while applying AI/GenAI approaches.

Ideal candidates bring 6+ years in data engineering, strong SQL/Python, and hands-on experience with PySpark or Java, Hadoop, and data warehouses. Join a global, multicultural team delivering impact.

Qualifications

• 6+ years experience as a Data Engineer in enterprise-scale data infra.
• Strong SQL and Python programming; PySpark or Java proficiency.
• Experience with data modeling, data warehouses, and ETL design.
• Knowledge of Hadoop ecosystem and APIs integration.
• Excellent English skills.

Responsibilities

• Provide technical leadership and mentorship to data engineers.
• Lead design reviews and guide architectural decisions for scalability.
• Collaborate with stakeholders to plan technical work aligned with business goals.
• Act as technical point of contact for cross-team collaborations on projects.
• Demonstrate ability to integrate AI-powered tools into data workflows.

Skills

SQL

Python

PySpark

Java

Data Modeling

Data Warehouse

Hadoop

API integration

English

Leadership

Tools

NiFi

Airflow

Docker

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Lead Data Engineer at BairesDev

Data Engineers are core contributors to internal Data Platforms, responsible for building scalable, resilient pipelines that support Business Operations, Analytics, and cutting-edge AI/ML initiatives. In this role, you'll design, implement, and optimize data pipelines using a wide range of Big Data and cloud-native technologies, supporting use cases from reporting and compliance to LLM-enabled apps.

As a Lead Data Engineer, you will not only contribute technically, but also lead technical initiatives, guide team members, and ensure architectural consistency across projects. This role is ideal for someone who thrives on solving complex data problems and is deeply motivated to incorporate AI into modern data engineering practices.

What You'll Do

• Provide technical leadership and mentorship to other data engineers, helping them grow and succeed in their roles.
• Lead design reviews, enforce coding standards, and guide architectural decisions to ensure platform scalability and maintainability.
• Partner with senior stakeholders and engineering leadership to prioritize and plan technical work that aligns with strategic business goals.
• Act as a technical point of contact for cross-team collaborations, participating in project planning, scoping, and retrospectives.
• Demonstrate curiosity, initiative, and capability to integrate AI-powered tools into day-to-day engineering workflows.
• Support AI/GenAI projects by building pipelines that feed LLM apps and recommendation systems.
• Drive adoption of data engineering best practices across the team, including testing, CI/CD, and observability.
• Design, build, and maintain batch and streaming data pipelines using native data platforms.
• Ingest data from various sources, including REST APIs, cloud services, and enterprise SaaS platforms.
• Implement robust transformation logic using Python, PySpark, SQL, and Java across structured and semi-structured datasets.
• Ensure data integrity, lineage, and performance across ingestion, transformation, and delivery layers.

What We Are Looking For

• Substantial background (6+ years) as a Data Engineer in enterprise-scale data infrastructures.
• Proven leadership in technical project management and team mentorship.
• Track record of guiding architectural conversations in high-throughput data ecosystems.
• Mastery of SQL and Python programming, with proficiency in PySpark or Java.
• Comprehensive knowledge of data modeling, transformation methodologies, and data warehouse architectures.
• Proven expertise with Hadoop ecosystem technologies.
• Successful implementation of resilient, high-performance data pipelines meeting strict service level agreements.
• Deep understanding of API integration, performance optimization, and data schema adaptation.
• Advanced level of English.

Nice To Have

• Practical implementation experience with Apache NiFi and Apache Airflow.
• Expertise in containerized environments, developer tooling, and API frameworks.
• Demonstrated capabilities in AI/ML platform support and generative AI pipeline development.
• Proven contributions to internal technological innovations within data engineering workflows.

How We Make Your Work (and Your Life) Easier

• Excellent compensation in USD or your local currency if preferred.
• Paid parental leave, vacation, & national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent in each area.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!