Engenheiro(a) de Dados Cloud

📍 Job Overview

Job Title: Engenheiro(a) de Dados Cloud - ARIBA
Company: EY
Location: Campinas, São Paulo, Brazil
Job Type: Hybrid
Category: Data Engineer
Date Posted: 2025-06-10
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site with remote flexibility

🚀 Role Summary

As a Data Engineer in our Financial Services Office (Tech FSO), you'll play a crucial role in supporting the data needs of our clients in the financial sector.
You'll work with a multidisciplinary team, including data specialists, UX designers, business analysts, and scrum masters, to deliver tailored solutions to our clients.
This role offers opportunities for growth in various data-related areas within the financial sector.

💻 Primary Responsibilities

Data Ingestion and Manipulation: Ingest Ariba tables into a Cloud Databricks environment, manipulate data using Python and SQL, and ensure data quality and consistency.
Collaboration: Work closely with technical and business teams to understand data requirements, provide data-driven insights, and support data-related projects.
Problem-Solving: Identify and resolve data-related issues, optimize data pipelines, and improve data processing efficiency.

🎓 Skills & Qualifications

Education: A bachelor's degree in Statistics, Computer Science, Software Engineering, Information Systems, Physics, or a related field.

Experience: Proven experience as a Data Engineer, with a strong background in data manipulation, data warehousing, and ETL processes.

Required Skills:

Proficiency in Python, SQL, and Databricks
Experience with Ariba API projects and knowledge of Ariba tables and data ingestion
Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud)

Preferred Skills:

Cloud certification (e.g., AWS Certified Big Data - Specialty, Azure Certified: Data Engineer Associate, or Google Cloud Certified - Professional Data Engineer)
Experience with data visualization tools (e.g., Tableau, Power BI, or Looker)

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-structured portfolio showcasing your data engineering projects, including data ingestion, transformation, and visualization components.
Detailed case studies demonstrating your ability to solve complex data challenges and deliver business value.

Technical Documentation:

Clear and concise documentation of your data pipelines, including data sources, transformation steps, and destination systems.
Version control and code review processes to ensure code quality and maintainability.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Campinas, São Paulo, Brazil is approximately R$8,000 - R$15,000 per month, depending on experience and qualifications. This estimate is based on regional market research and industry benchmarks for data engineering roles.

Benefits:

Vale Alimentação (Food Allowance)
Vale Refeição (Meal Allowance)
Vale Transporte (Transportation Allowance)
Plano de Saúde (Health Insurance)
Assistência Odontológica (Dental Care)
Universidade Corporativa (Corporate University)
Gympass (Gym Membership)
PLR (Performance-Based Bonus)

Working Hours: Full-time (40 hours per week), with flexible hours for deployment windows and maintenance tasks.

📝 Enhancement Note: The salary range provided is an estimate based on regional market research and industry benchmarks for data engineering roles. Actual compensation may vary based on the candidate's qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: EY is a global leader in assurance, tax, transaction, and advisory services, focusing on the financial services industry.

Company Size: EY is a large organization with over 350,000 employees worldwide, providing extensive opportunities for career growth and development.

Founded: EY was founded in 1989 through the merger of two historic accounting firms, Ernst & Whinney and Arthur Young & Co.

Team Structure:

The Tech FSO team consists of over 4,000 professionals across 50 locations in the Americas, with a strong focus on collaboration and knowledge sharing.
The team is organized into specialized practice areas, including data engineering, UX design, business analysis, and scrum mastery.

Development Methodology:

Agile/Scrum methodologies are used for project management and delivery, with regular sprint planning and review sessions.
Code reviews, testing, and quality assurance practices are employed to ensure code quality and maintainability.
CI/CD pipelines and automated deployment strategies are used to streamline the software development lifecycle.

Company Website: EY Brazil

📝 Enhancement Note: EY's global presence and extensive resources provide data engineers with ample opportunities to work on diverse projects, collaborate with international teams, and advance their careers.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level data engineer, responsible for designing, implementing, and maintaining data pipelines, as well as providing data-driven insights to support business decisions.

Reporting Structure: This role reports directly to the Tech FSO team lead and collaborates with various stakeholders, including data specialists, UX designers, business analysts, and scrum masters.

Technical Impact: Data engineers in this role have a significant impact on the quality, accuracy, and availability of data used to support business operations, strategic decision-making, and regulatory compliance.

Growth Opportunities:

Data Specialization: Deepen your expertise in specific data domains, such as data warehousing, data lakes, or real-time data processing.
Technical Leadership: Develop your leadership skills by mentoring junior team members, contributing to technical standards, and driving architecture decisions.
Emerging Technologies: Stay up-to-date with the latest data engineering trends and tools, and explore opportunities to work with emerging technologies, such as machine learning, IoT, or blockchain.

📝 Enhancement Note: EY's focus on continuous learning and professional development enables data engineers to expand their skill sets, take on new challenges, and advance their careers within the organization.

🌐 Work Environment

Office Type: EY's Campinas office is a modern, collaborative workspace designed to foster innovation and teamwork.

Office Location(s): Campinas, São Paulo, Brazil

Workspace Context:

EY provides state-of-the-art development tools, multiple monitors, and testing devices to support data engineers' productivity and efficiency.
The workspace encourages cross-functional collaboration, with dedicated areas for team meetings, workshops, and training sessions.
EY's flexible work arrangement allows for remote work, promoting a healthy work-life balance.

Work Schedule: Full-time (40 hours per week), with flexible hours for deployment windows, maintenance tasks, and project deadlines.

📝 Enhancement Note: EY's commitment to fostering a collaborative and inclusive work environment enables data engineers to thrive both personally and professionally.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills and problem-solving abilities.
Technical Phone Screen: Participate in a phone screen to discuss your technical background, experience, and career aspirations.
On-site Interview: Attend an on-site interview to meet the team, discuss the role in more detail, and demonstrate your technical skills through a hands-on challenge.
Final Decision: Receive a final decision and, if successful, an offer of employment.

Portfolio Review Tips:

Highlight your data engineering projects, including data ingestion, transformation, and visualization components.
Focus on the business impact of your projects, demonstrating your ability to solve complex data challenges and deliver value to stakeholders.
Showcase your technical skills and provide clear, concise documentation of your data pipelines.

Technical Challenge Preparation:

Brush up on your Python, SQL, and Databricks skills, focusing on data manipulation, transformation, and optimization techniques.
Familiarize yourself with Ariba API projects and data ingestion processes.
Practice problem-solving exercises and algorithms relevant to data engineering challenges.

ATS Keywords: Data Engineer, Data Manipulation, Data Warehousing, ETL, Python, SQL, Databricks, Ariba API, Cloud Platforms, Data Visualization, Agile, Scrum, CI/CD, Data-Driven Insights, Business Intelligence

📝 Enhancement Note: EY's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit, ensuring that you are the right candidate for the role.

📌 Application Steps

To apply for this data engineering position at EY:

Submit your application through the EY careers portal.
Customize your resume, highlighting your data engineering experience, technical skills, and relevant projects.
Prepare a comprehensive portfolio showcasing your data engineering projects, including data ingestion, transformation, and visualization components.
Research EY's company culture, mission, and values to ensure a strong fit with your personal and professional goals.
Prepare for the interview process by brushing up on your technical skills, practicing problem-solving exercises, and reviewing the role requirements and responsibilities.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data engineering industry-standard assumptions. All details should be verified directly with EY before making application decisions.

Engenheiro(a) de Dados Cloud - ARIBA