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: Hybrid
Category: DevOps Engineer
Date Posted: 2025-07-23
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site/Hybrid

🚀 Role Summary

Develop, deploy, and maintain scalable cloud-native solutions using cutting-edge DevOps practices.
Collaborate with cross-functional agile teams to build, deploy, and maintain scalable data ingestion, transformation, and publication pipelines using Databricks on Azure.
Ensure data reliability, versioning, and traceability in regulated environments.
Leverage Microsoft Azure services and work with relational databases to create efficient and secure solutions.
Participate in architectural and technical decision-making within agile squads.

📝 Enhancement Note: This role requires a strong background in DevOps, cloud computing, and data processing. Familiarity with Azure, Kubernetes, and event streaming tools is essential for success in this position.

💻 Primary Responsibilities

Data Pipeline Development: Build and maintain scalable data ingestion, transformation, and publication pipelines using Databricks on Azure.
Workflow Orchestration: Use Apache Airflow deployed in Kubernetes to orchestrate Databricks workflows efficiently.
Streaming Integration: Implement and operate high volume streaming integrations using Confluent/Kafka and interoperate with Event Hubs when needed.
Library Development: Create reusable Python/Scala libraries to accelerate development of new MAS data domains.
Data Management: Ensure reliability, versioning, and traceability of data in regulated/industrial environments.
Collaboration: Work with platform engineering, security, and data product teams to evolve the MAS architecture.
Solution Development: Leverage Microsoft Azure services such as App Services, Storage, Functions, and Event Hub to create efficient and secure solutions.
Database Management: Work with relational databases including SQL Server and Oracle.
Decision Making: Participate in architectural and technical decision-making within agile squads.
Best Practices: Ensure solutions follow best practices in security, scalability, and performance.

📝 Enhancement Note: This role requires a strong focus on data processing, cloud computing, and collaboration with cross-functional teams. Proficiency in relevant technologies and a deep understanding of data management principles are crucial for success.

🎓 Skills & Qualifications

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

Experience: 2-5 years of experience in a related role, with a strong focus on DevOps, cloud computing, and data processing.

Required Skills:

Docker and Kubernetes
Microsoft Azure services
Apache Kafka (or similar tools for event streaming)
Relational databases (SQL Server, Oracle)
Git and CI/CD pipelines
Strong English proficiency

Preferred Skills:

Hybrid Batch + Streaming: Lambda/Kappa patterns; incremental loads for Lakehouse architecture.
Data Security: Secret management (Azure Key Vault / HashiCorp Vault), encryption at rest and in transit, product/domain-level access control.
Experience with Terraform or other Infrastructure as Code (IaC) tools
Knowledge of NoSQL databases (e.g., Cosmos DB, MongoDB)
Familiarity with DevOps practices and observability tools (logs, metrics, alerts)
Certifications in Azure, Kubernetes
Proficiency with modern frontend frameworks (e.g., React, Angular)

📝 Enhancement Note: This role requires a strong background in DevOps, cloud computing, and data processing. Familiarity with Azure, Kubernetes, and event streaming tools is essential for success in this position. While a bachelor's degree is required, relevant work experience and certifications can also demonstrate the necessary skills for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in building and maintaining scalable data pipelines using Databricks on Azure.
Showcase your ability to orchestrate workflows using Apache Airflow deployed in Kubernetes.
Highlight your experience with streaming integrations using Confluent/Kafka and interoperability with Event Hubs.
Display your ability to create reusable Python/Scala libraries for new MAS data domains.
Illustrate your understanding of data management principles and best practices for regulated environments.

Technical Documentation:

Provide clear and concise documentation for your data pipelines, including data sources, transformations, and destinations.
Explain your approach to data security, including encryption, access control, and secret management.
Detail your experience with Azure services and how you've leveraged them to create efficient and secure solutions.
Describe your process for ensuring data reliability, versioning, and traceability in regulated environments.

📝 Enhancement Note: This role requires a strong focus on data processing, cloud computing, and collaboration with cross-functional teams. Your portfolio should demonstrate your proficiency in relevant technologies and your understanding of data management principles. Be prepared to discuss your approach to data security, Azure services, and data pipeline development in your technical interview.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Curitiba, Brazil, is typically between BRL 7,000 and BRL 12,000 per month, depending on experience and qualifications. This estimate is based on regional market standards and cost of living adjustments.

Benefits:

Health Assistance
Flexible Work Hours
Profit Sharing
Private Pension Plan
Life Insurance
Childcare Assistance
Extended Maternity Leave
Extended Paternity Leave
On-site Meals
Free Parking
Year-End Benefits
School Supplies Assistance
Training and Development Programs
Volunteering Opportunities

Working Hours: 40 hours per week, with flexible work arrangements and remote work options available.

📝 Enhancement Note: The salary range provided is an estimate based on regional market standards and cost of living adjustments. Benefits include health assistance, flexible work hours, profit sharing, and various training and development opportunities. Working hours are typically 40 hours per week, with flexible arrangements and remote work options available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Bosch Group operates in the automotive, industrial technology, consumer goods, and energy technology sectors, with a strong focus on innovation and sustainability.

Company Size: Bosch Group is a large, multinational corporation with over 400,000 employees worldwide. This size offers numerous opportunities for career growth and collaboration with diverse teams.

Founded: Robert Bosch GmbH was founded in 1886 by Robert Bosch in Stuttgart, Germany. The company has since grown into a global leader in technology and engineering.

Team Structure:

The team for this role is part of a cross-functional agile squad, working closely with platform engineering, security, and data product teams.
The team follows Agile methodologies, with a focus on collaboration, continuous improvement, and customer value delivery.

Development Methodology:

The team follows Agile/Scrum methodologies, with regular sprint planning, code reviews, testing, and quality assurance practices.
CI/CD pipelines and automated deployment strategies are used to ensure efficient and reliable software delivery.
The team works with Microsoft Azure services and leverages infrastructure as code (IaC) tools to manage and provision resources.

Company Website: Bosch Group Website

📝 Enhancement Note: Bosch Group is a large, multinational corporation with a strong focus on innovation and sustainability. The team for this role operates within a cross-functional agile squad, collaborating with various teams to deliver customer value and drive business growth.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong background in DevOps, cloud computing, and data processing. The role offers opportunities for technical leadership and architecture decision-making within agile squads.

Reporting Structure: The role reports directly to the team lead or manager, with opportunities for cross-functional collaboration and mentorship within the agile squad.

Technical Impact: The role has a significant impact on the development, deployment, and maintenance of scalable cloud-native solutions. The successful candidate will work closely with cross-functional teams to ensure data reliability, security, and performance in regulated environments.

Growth Opportunities:

Technical Leadership: Develop your technical leadership skills by participating in architectural and technical decision-making within agile squads.
Emerging Technologies: Stay up-to-date with emerging cloud computing and data processing technologies, and contribute to the evolution of the MAS architecture.
Career Progression: Progress your career by taking on more complex projects, mentoring junior team members, and driving innovation within the team.

📝 Enhancement Note: This role offers numerous opportunities for career growth and technical leadership within a large, multinational corporation. By collaborating with cross-functional teams and driving innovation, the successful candidate can make a significant impact on the development and deployment of scalable cloud-native solutions.

🌐 Work Environment

Office Type: The office is a modern, collaborative workspace designed to facilitate cross-functional teamwork and innovation.

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

Workspace Context:

The workspace is equipped with modern development tools, multiple monitors, and testing devices to ensure optimal productivity.
The team follows a collaborative approach, with regular code reviews, pair programming, and knowledge sharing sessions.
The office offers on-site meals, free parking, and various benefits to support work-life balance.

Work Schedule: The work schedule is typically 40 hours per week, with flexible arrangements and remote work options available. The team follows a hybrid work model, with a mix of on-site and remote work.

📝 Enhancement Note: The office offers a modern, collaborative workspace designed to facilitate cross-functional teamwork and innovation. The team follows a hybrid work model, with a mix of on-site and remote work to ensure optimal productivity and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Review your portfolio, focusing on data pipeline development, cloud computing, and data management projects. Brush up on your knowledge of Azure, Kubernetes, and event streaming tools.
Online Assessment: Complete an online assessment to evaluate your technical skills and problem-solving abilities.
Technical Interview: Participate in a technical interview, focusing on your experience with data pipeline development, cloud computing, and data management. Be prepared to discuss your approach to data security, Azure services, and data pipeline development.
Final Evaluation: Complete a final evaluation, focusing on your cultural fit and long-term potential within the team.

Portfolio Review Tips:

Highlight your proficiency in building and maintaining scalable data pipelines using Databricks on Azure.
Showcase your ability to orchestrate workflows using Apache Airflow deployed in Kubernetes.
Demonstrate your experience with streaming integrations using Confluent/Kafka and interoperability with Event Hubs.
Illustrate your understanding of data management principles and best practices for regulated environments.

Technical Challenge Preparation:

Brush up on your knowledge of Azure, Kubernetes, and event streaming tools.
Practice coding challenges and problem-solving exercises related to data pipeline development, cloud computing, and data management.
Familiarize yourself with the Azure portal and relevant Azure services to ensure efficient and secure solution development.

📝 Enhancement Note: The interview process for this role focuses on evaluating your technical skills and problem-solving abilities, with a strong emphasis on data pipeline development, cloud computing, and data management. Be prepared to discuss your approach to data security, Azure services, and data pipeline development in your technical interview.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role.

Backend & Server Technologies:

Cloud Computing: Microsoft Azure (App Services, Storage, Functions, Event Hub)
Data Processing: Databricks on Azure, Apache Airflow (Kubernetes deployment)
Event Streaming: Confluent/Kafka, Event Hubs
Relational Databases: SQL Server, Oracle
Version Control: Git
CI/CD Pipelines: Jenkins, Azure DevOps
Infrastructure as Code (IaC): Terraform

Development & DevOps Tools:

Integrated Development Environment (IDE): Visual Studio Code, PyCharm
Containerization: Docker, Kubernetes
Monitoring: Prometheus, Grafana
Log Management: ELK Stack (Elasticsearch, Logstash, Kibana)
Infrastructure as Code (IaC): Terraform, Azure Resource Manager (ARM) templates

📝 Enhancement Note: The technology stack for this role focuses on cloud computing, data processing, and event streaming tools. Familiarity with Microsoft Azure, Kubernetes, and relevant data management technologies is essential for success in this position.

👥 Team Culture & Values

Web Development Values:

Innovation: Drive continuous improvement and innovation in cloud-native solutions and data processing techniques.
Collaboration: Work closely with cross-functional teams to deliver customer value and drive business growth.
Security: Ensure data security, reliability, and performance in regulated environments.
Scalability: Develop scalable and efficient solutions that can adapt to changing business needs.
Performance: Optimize data processing pipelines and cloud-native solutions for optimal performance and cost-efficiency.

Collaboration Style:

Cross-Functional Integration: Work closely with platform engineering, security, and data product teams to evolve the MAS architecture and deliver customer value.
Code Review Culture: Participate in regular code reviews to ensure code quality, security, and performance.
Peer Programming: Collaborate with team members on complex tasks and share knowledge through pair programming sessions.
Knowledge Sharing: Contribute to the team's collective knowledge by sharing your expertise and learning from others.

📝 Enhancement Note: The team culture for this role emphasizes innovation, collaboration, and security. By working closely with cross-functional teams and driving continuous improvement, the successful candidate can make a significant impact on the development and deployment of scalable cloud-native solutions.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Pipeline Development: Build and maintain scalable data pipelines using Databricks on Azure, ensuring data reliability, versioning, and traceability in regulated environments.
Cloud Computing: Leverage Microsoft Azure services to create efficient and secure solutions, optimizing performance and cost-efficiency.
Data Security: Implement data security best practices, including encryption, access control, and secret management.
Emerging Technologies: Stay up-to-date with emerging cloud computing and data processing technologies, and contribute to the evolution of the MAS architecture.

Learning & Development Opportunities:

Technical Skill Development: Enhance your technical skills in cloud computing, data processing, and data management through training and development programs.
Emerging Technologies: Explore emerging cloud computing and data processing technologies, and contribute to the evolution of the MAS architecture.
Technical Leadership: Develop your technical leadership skills by participating in architectural and technical decision-making within agile squads.

📝 Enhancement Note: This role offers numerous opportunities for technical growth and leadership within a large, multinational corporation. By collaborating with cross-functional teams and driving innovation, the successful candidate can make a significant impact on the development and deployment of scalable cloud-native solutions.

💡 Interview Preparation

Technical Questions:

Data Pipeline Development: Describe your experience with building and maintaining scalable data pipelines using Databricks on Azure. How do you ensure data reliability, versioning, and traceability in regulated environments?
Cloud Computing: How do you leverage Microsoft Azure services to create efficient and secure solutions? Can you provide examples of your experience with Azure App Services, Storage, Functions, and Event Hub?
Data Security: How do you implement data security best practices, including encryption, access control, and secret management? Can you discuss your experience with Azure Key Vault or HashiCorp Vault?
Architecture Decision-Making: How do you approach architectural and technical decision-making within agile squads? Can you provide an example of a complex architecture decision you've made and the outcome?

Company & Culture Questions:

Team Dynamics: How do you collaborate with cross-functional teams to deliver customer value and drive business growth? Can you describe your experience with Agile methodologies and cross-functional teamwork?
Innovation: How do you drive continuous improvement and innovation in cloud-native solutions and data processing techniques? Can you provide an example of a innovative solution you've developed and its impact on the business?
Security: How do you ensure data security, reliability, and performance in regulated environments? Can you discuss your experience with data security best practices and compliance with relevant regulations?

Portfolio Presentation Strategy:

Data Pipeline Development: Highlight your proficiency in building and maintaining scalable data pipelines using Databricks on Azure. Showcase your ability to orchestrate workflows using Apache Airflow deployed in Kubernetes.
Cloud Computing: Demonstrate your experience with Microsoft Azure services and how you've leveraged them to create efficient and secure solutions. Highlight your understanding of Azure App Services, Storage, Functions, and Event Hub.
Data Security: Illustrate your understanding of data security best practices, including encryption, access control, and secret management. Discuss your experience with Azure Key Vault or HashiCorp Vault.

📝 Enhancement Note: The interview process for this role focuses on evaluating your technical skills and problem-solving abilities, with a strong emphasis on data pipeline development, cloud computing, and data management. Be prepared to discuss your approach to data security, Azure services, and data pipeline development in your technical interview.

📌 Application Steps

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

Portfolio Customization: Tailor your portfolio to showcase your proficiency in building and maintaining scalable data pipelines using Databricks on Azure, your ability to orchestrate workflows using Apache Airflow deployed in Kubernetes, and your experience with Microsoft Azure services.
Resume Optimization: Highlight your relevant work experience, technical skills, and achievements in data pipeline development, cloud computing, and data management. Include any certifications or training in Azure, Kubernetes, or related technologies.
Technical Interview Preparation: Brush up on your knowledge of Azure, Kubernetes, and event streaming tools. Practice coding challenges and problem-solving exercises related to data pipeline development, cloud computing, and data management. Familiarize yourself with the Azure portal and relevant Azure services to ensure efficient and secure solution development.
Company Research: Research Bosch Group's industry, company culture, and values. Understand their focus on innovation, sustainability, and customer value delivery. Prepare questions to ask during your interview to demonstrate your interest in the company and the role.

⚠️ 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)