Mid Level Software Engineer (Data & Cloud)

📍 Job Overview

Job Title: Mid Level Software Engineer (Data & Cloud) - (31875)
Company: Bosch Group
Location: Curitiba, Paraná, Brazil
Job Type: Tempo integral
Category: DevOps Engineer, Cloud Engineer
Date Posted: 2025-08-12
Experience Level: 2-5 years
Remote Status: On-site/Hybrid

🚀 Role Summary

Develop, deploy, and maintain scalable cloud-native solutions using cutting-edge DevOps practices.
Build and maintain data ingestion, transformation, and publication pipelines using Databricks on Azure.
Collaborate with cross-functional teams to evolve the architecture and ensure solutions follow best practices in security, scalability, and performance.

📝 Enhancement Note: This role requires a strong background in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices. The ideal candidate will have experience working in an agile environment and be comfortable collaborating with various teams.

💻 Primary Responsibilities

Data Pipeline Development: Build and maintain scalable data pipelines using Databricks on Azure, Apache Airflow, and Confluent/Kafka.
Data Processing: Implement reusable Python/Scala libraries to accelerate development of new data domains and ensure reliability, versioning, and traceability of data in regulated environments.
Collaboration: Work with platform engineering, security, and data product teams to evolve the architecture and ensure solutions follow best practices in security, scalability, and performance.
Decision Making: Participate in architectural and technical decision-making within agile squads.
Microsoft Azure Services: Leverage Microsoft Azure services such as App Services, Storage, Functions, and Event Hub to build and maintain scalable solutions.
Database Management: Work with relational databases including SQL Server and Oracle to ensure data integrity and security.

📝 Enhancement Note: This role requires a strong understanding of data processing pipelines, cloud services, and collaboration with various teams. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in related fields such as Electrical Engineering, Software Engineering, IT, Automation, or Industrial Engineering.

Experience: Hands-on experience with Docker and Kubernetes, Microsoft Azure services, Apache Kafka, and relational databases (SQL Server, Oracle). Strong knowledge of Git and CI/CD pipelines.

Required Skills:

Proficiency in Python and/or Scala
Experience with Apache Kafka or similar event streaming tools
Strong knowledge of Git and CI/CD pipelines
Familiarity with Microsoft Azure services
Experience with relational databases (SQL Server, Oracle)
Knowledge of DevOps practices and observability tools (logs, metrics, alerts)

Preferred Skills:

Experience with hybrid batch + streaming (Lambda/Kappa patterns) and incremental loads for Lakehouse architecture.
Knowledge of data security best practices, including secret management, encryption, and access control.
Experience with Terraform or other Infrastructure as Code (IaC) tools
Familiarity with NoSQL databases (e.g., Cosmos DB, MongoDB)
Proficiency with modern frontend frameworks (e.g., React, Angular)
Certifications in Azure and/or Kubernetes

📝 Enhancement Note: This role requires a strong background in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices. The ideal candidate will have experience working in an agile environment and be comfortable collaborating with various teams.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Data Pipeline Projects: Include examples of data pipeline projects you've worked on, highlighting your experience with Databricks, Apache Airflow, and Confluent/Kafka.
Cloud Projects: Showcase your experience with Microsoft Azure services by including projects that demonstrate your proficiency in building and maintaining scalable solutions.
Collaboration Projects: Highlight your ability to work effectively with cross-functional teams by including projects that showcase your collaboration and communication skills.
Technical Documentation: Include documentation that demonstrates your understanding of data processing, cloud services, and best practices in security, scalability, and performance.

Technical Documentation:

Code Quality: Demonstrate your commitment to code quality by including examples of well-documented, modular, and maintainable code.
Version Control: Showcase your experience with Git and CI/CD pipelines by including examples of projects that demonstrate your proficiency in version control and automated deployment.
Testing Methodologies: Include examples of testing methodologies you've used to ensure the reliability and performance of your data pipelines and cloud solutions.

📝 Enhancement Note: This role requires a strong portfolio that demonstrates your experience with data processing pipelines, cloud services, and collaboration with various teams. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between R$6,000 and R$9,000 per month, based on market research and regional adjustments for the Curitiba area. This estimate is based on the role's level of experience and the cost of living in the region.

Benefits:

Health Assistance
Flexible Work Hours
Profit Sharing
Private Pension Plan
Life Insurance
On-site Meals
Free Parking
Educational Subsidies
Training and Development
Volunteering Opportunities

Working Hours: The working hours for this role are 40 hours per week, with flexible work arrangements available.

📝 Enhancement Note: The salary range provided is an estimate based on market research and regional adjustments for the Curitiba area. The actual salary may vary depending on the candidate's experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: The Bosch Group is a global supplier of technology and services, operating in the areas of mobility solutions, industrial technology, consumer goods, and energy and building technology.

Company Size: The Bosch Group is a large multinational corporation with over 400,000 associates worldwide. This size allows for a diverse range of opportunities and a robust infrastructure to support its employees.

Founded: The company was founded in 1886 by Robert Bosch in Stuttgart, Germany, and has since grown to become one of the largest technology companies in the world.

Team Structure:

The team for this role is part of a cross-functional agile team, working on developing, deploying, and maintaining scalable and cloud-native solutions.
The team consists of software engineers, data engineers, and DevOps engineers, all working together to deliver high-quality solutions.
The team follows an agile methodology, with regular sprint planning, code reviews, and testing practices.

Development Methodology:

The team follows Agile/Scrum methodologies, with regular sprint planning and code reviews to ensure the quality and efficiency of the development process.
The team uses CI/CD pipelines and automated deployment strategies to ensure the reliability and performance of their solutions.
The team works with Microsoft Azure services, including App Services, Storage, Functions, and Event Hub, to build and maintain scalable solutions.

Company Website: Bosch Group Website

📝 Enhancement Note: The Bosch Group's size and global presence provide a wealth of opportunities for career growth and development. The company's commitment to innovation and technology makes it an attractive employer for software engineers and data engineers.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level, requiring a strong background in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices. The ideal candidate will have experience working in an agile environment and be comfortable collaborating with various teams.

Reporting Structure: The role reports directly to the team lead, with a matrix reporting structure to other teams, such as platform engineering, security, and data product teams.

Technical Impact: The role has a significant impact on the architecture and technical decisions made within the agile squad. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

Growth Opportunities:

Technical Progression: The role offers opportunities for technical growth, with a focus on cloud and data engineering. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.
Leadership Development: The role offers opportunities for leadership development, with a focus on technical mentoring and architecture decision-making. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.
Emerging Technologies: The role offers opportunities to work with emerging technologies, with a focus on cloud and data engineering. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

📝 Enhancement Note: This role offers significant opportunities for career growth and development, with a focus on cloud and data engineering. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

🌐 Work Environment

Office Type: The office for this role is a hybrid workspace, with a combination of on-site and remote work arrangements.

Office Location(s): The office is located in Curitiba, Paraná, Brazil, with easy access to public transportation and nearby amenities.

Workspace Context:

Collaboration: The hybrid workspace allows for both in-person collaboration and remote work, with a focus on effective communication and teamwork.
Development Tools: The team provides access to modern development tools, including multiple monitors and testing devices, to ensure the quality and efficiency of the development process.
Cross-Functional Interaction: The team works closely with other teams, such as platform engineering, security, and data product teams, to ensure the quality and reliability of their solutions.

Work Schedule: The work schedule for this role is flexible, with a focus on delivering high-quality solutions and meeting project deadlines. The team uses a combination of on-site and remote work arrangements to ensure the efficiency and productivity of the development process.

📝 Enhancement Note: The hybrid workspace for this role allows for both in-person collaboration and remote work, with a focus on effective communication and teamwork. The ideal candidate will have experience working in an agile environment and be comfortable collaborating with various teams.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Prepare for technical questions related to cloud and data engineering, with a focus on Microsoft Azure services, Apache Kafka, and relational databases. Brush up on your knowledge of DevOps practices and observability tools (logs, metrics, alerts).
Portfolio Review: Prepare a portfolio that demonstrates your experience with data processing pipelines, cloud services, and collaboration with various teams. Include examples of projects that showcase your technical skills and problem-solving abilities.
Team Interaction: Prepare for team interaction and cultural fit assessments, with a focus on your ability to work effectively in an agile environment.
Final Evaluation: Prepare for a final evaluation that focuses on your technical impact and ability to contribute to the team's goals and objectives.

Portfolio Review Tips:

Portfolio Curation: Curate your portfolio to highlight your experience with data processing pipelines, cloud services, and collaboration with various teams. Include examples of projects that showcase your technical skills and problem-solving abilities.
Project Case Studies: Prepare project case studies that focus on user experience and technical implementation, with a focus on data processing pipelines, cloud services, and collaboration with various technologies.
Code Quality Demonstration: Prepare examples of well-documented, modular, and maintainable code that demonstrate your commitment to code quality and best practices in security, scalability, and performance.
Company-Specific Considerations: Research the Bosch Group's company-specific considerations and prepare examples that demonstrate your understanding of their technology stack and development methodologies.

Technical Challenge Preparation:

Technical Exercise Format: Familiarize yourself with the typical web development exercise format and prepare for time management and solution architecture challenges.
Communication and Technical Explanation: Brush up on your communication skills and prepare to articulate technical concepts and solutions effectively.

📝 Enhancement Note: The interview process for this role focuses on technical preparation, portfolio review, and team interaction. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role.

Backend & Server Technologies:

Microsoft Azure Services: Leverage Microsoft Azure services such as App Services, Storage, Functions, and Event Hub to build and maintain scalable solutions.
Databricks: Use Databricks on Azure to build and maintain data pipelines and process large datasets.
Apache Airflow: Use Apache Airflow deployed in Kubernetes to orchestrate Databricks workflows efficiently.
Confluent/Kafka: Use Confluent/Kafka for high volume streaming integrations and interoperate with Event Hubs when needed.
SQL Server and Oracle: Work with relational databases including SQL Server and Oracle to ensure data integrity and security.

Development & DevOps Tools:

Git: Use Git for version control and collaborative development.
CI/CD Pipelines: Use CI/CD pipelines for automated deployment and testing.
Docker: Use Docker for containerization and deployment of applications.
Kubernetes: Use Kubernetes for orchestration and management of containerized applications.

📝 Enhancement Note: The technology stack for this role focuses on cloud and data engineering, with a focus on Microsoft Azure services, Apache Kafka, and relational databases. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

👥 Team Culture & Values

Web Development Values:

Innovation: The Bosch Group values innovation and encourages its employees to think creatively and challenge the status quo.
Quality: The Bosch Group is committed to delivering high-quality solutions that meet the needs of its customers.
Collaboration: The Bosch Group values collaboration and encourages its employees to work together to achieve common goals and objectives.
Sustainability: The Bosch Group is committed to sustainability and encourages its employees to consider the environmental impact of their work.

Collaboration Style:

Cross-Functional Integration: The team works closely with other teams, such as platform engineering, security, and data product teams, to ensure the quality and reliability of their solutions.
Code Review Culture: The team follows a code review culture to ensure the quality and efficiency of the development process.
Knowledge Sharing: The team encourages knowledge sharing and technical mentoring to support the growth and development of its employees.

📝 Enhancement Note: The Bosch Group's values and collaboration style emphasize innovation, quality, collaboration, and sustainability. The ideal candidate will have experience working in an agile environment and be comfortable collaborating with various teams.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Processing Pipelines: Develop, deploy, and maintain scalable data pipelines using Databricks on Azure, Apache Airflow, and Confluent/Kafka.
Cloud Services: Build and maintain scalable solutions using Microsoft Azure services, with a focus on security, scalability, and performance.
Data Security: Ensure the reliability, versioning, and traceability of data in regulated environments, with a focus on data security best practices.
Emerging Technologies: Stay up-to-date with emerging technologies in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices.

Learning & Development Opportunities:

Technical Skill Development: Develop your technical skills in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices.
Leadership Development: Develop your leadership skills, with a focus on technical mentoring and architecture decision-making.
Emerging Technologies: Stay up-to-date with emerging technologies in cloud and data engineering, with a focus on Microsoft Azure services and DevOps practices.

📝 Enhancement Note: This role offers significant technical challenges and learning opportunities, with a focus on cloud and data engineering. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

💡 Interview Preparation

Technical Questions:

Cloud Services: Prepare for technical questions related to cloud services, with a focus on Microsoft Azure services, data processing pipelines, and collaboration with various teams.
Data Processing Pipelines: Prepare for technical questions related to data processing pipelines, with a focus on Databricks, Apache Airflow, and Confluent/Kafka.
Data Security: Prepare for technical questions related to data security, with a focus on best practices, secret management, and encryption.

Company & Culture Questions:

Company-Specific Considerations: Research the Bosch Group's company-specific considerations and prepare for questions that focus on your understanding of their technology stack and development methodologies.
Agile Methodologies: Prepare for questions that focus on your experience working in an agile environment and your ability to collaborate effectively with various teams.
Technical Impact: Prepare for questions that focus on your ability to contribute to the team's goals and objectives and your understanding of the role's technical impact.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your portfolio, with a focus on your experience with data processing pipelines, cloud services, and collaboration with various teams.
Code Explanation: Prepare to explain your code and architecture decisions, with a focus on best practices in security, scalability, and performance.
User Experience Showcase: Prepare to showcase your understanding of user experience and your ability to deliver high-quality solutions that meet the needs of your customers.

📝 Enhancement Note: The interview process for this role focuses on technical preparation, portfolio review, and company-specific considerations. The ideal candidate will have experience working with big data technologies and be comfortable working in an agile environment.

📌 Application Steps

To apply for this mid-level software engineer (data & cloud) role at the Bosch Group:

Portfolio Customization: Customize your portfolio to highlight your experience with data processing pipelines, cloud services, and collaboration with various teams. Include examples of projects that showcase your technical skills and problem-solving abilities.
Resume Optimization: Optimize your resume for web technology roles, with a focus on project highlights and technical skills. Include relevant keywords and phrases to improve your search visibility.
Technical Interview Preparation: Prepare for technical interviews by brushing up on your knowledge of cloud and data engineering, with a focus on Microsoft Azure services, Apache Kafka, and relational databases. Familiarize yourself with the interview process and prepare for technical challenges and company-specific considerations.
Company Research: Research the Bosch Group's company-specific considerations and prepare for questions that focus on your understanding of their technology stack and development methodologies. Familiarize yourself with their company culture and values, and prepare for questions that focus on your ability to collaborate effectively with various teams.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Mid Level Software Engineer (Data & Cloud) - (31875)