📍 Job Overview

Job Title: Junior Data Engineer Cloud Azure F/H
Company: VISEO
Location: Toulouse, Occitania, France
Job Type: Full-time
Category: Data Engineering
Date Posted: July 30, 2025
Experience Level: Entry-level (0-2 years)
Remote Status: On-site

🚀 Role Summary

Collaborate with experts in data engineering and cloud solutions to design and evolve data pipelines on Microsoft Azure.
Gain hands-on experience with services like Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.
Work alongside BI and Analytics teams to transform data into valuable insights.
Stay curious about the latest innovations, such as Microsoft Fabric, and familiarize yourself with tools like Databricks or Spark for large-scale data transformation.

📝 Enhancement Note: This role is ideal for recent graduates with a strong interest in cloud computing and data engineering, seeking to kickstart their career in a dynamic and supportive environment.

💻 Primary Responsibilities

Assist clients in adopting Modern Data Platforms in Azure, including architecture studies, preparation of data assets, FinOps, and DevOps.
Design efficient cloud data architectures that leverage Azure's managed data services.
Conduct projects involving the deployment of Modern Data Platforms, including cloud-native applications and migration of existing applications.
Build trust-based relationships with technical decision-makers and stakeholders to foster long-term Azure cloud adoption within the organization.
Perform continuous market research and competitive analysis to stay updated on industry trends.

📝 Enhancement Note: While this role focuses on technical aspects, building strong relationships with clients and stakeholders is crucial for successful project delivery and long-term growth.

🎓 Skills & Qualifications

Education: Recent engineering school graduate or equivalent, with a strong foundation in computer science, data structures, and algorithms.

Experience: Prior experience as a Data Engineer, ideally in a cloud project, is preferred. Internships or relevant personal projects are also valuable.

Required Skills:

Strong interest in cloud computing, particularly Microsoft Azure
Proficiency in data engineering concepts and practices
Familiarity with SQL and NoSQL databases
Knowledge of data transformation tools and techniques
Ability to work in a collaborative, agile environment

Preferred Skills:

Experience with Azure services (Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics)
Familiarity with big data processing tools (Databricks, Spark)
Knowledge of data visualization and business intelligence tools
Familiarity with DevOps practices and FinOps principles

📝 Enhancement Note: While specific Azure service experience is not required, a strong foundation in data engineering and a willingness to learn are essential for success in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your understanding of data engineering principles by showcasing projects that involve data processing, transformation, and analysis.
Highlight your experience with cloud computing, focusing on Microsoft Azure services.
Include projects that showcase your ability to work collaboratively and adapt to different technologies and tools.

Technical Documentation:

Document your code, including comments and version control, to ensure maintainability and collaboration.
Describe the architecture and design decisions behind your projects, demonstrating your understanding of system design principles.
Include any relevant metrics or performance optimizations to showcase your technical prowess.

📝 Enhancement Note: While a portfolio is not explicitly mentioned in the job listing, demonstrating your technical skills through relevant projects will significantly strengthen your application.

💵 Compensation & Benefits

Salary Range: €35,000 - €45,000 per year (Based on market research for entry-level data engineering roles in Toulouse, France)

Benefits:

Training and certification opportunities in Microsoft Azure
Mentoring program to support your professional development
Flexible work environment, promoting work-life balance
Commitment to environmental sustainability, social responsibility, and equality & inclusion
Employee shareholding and profit-sharing schemes

Working Hours: Full-time position with standard working hours, flexible to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: The salary range is an estimate based on market research for entry-level data engineering roles in Toulouse, France. Actual compensation may vary based on individual qualifications and experience.

🎯 Team & Company Context

Company Culture:

VISEO is a global digital transformation consulting firm with a strong focus on data and cloud technologies.
With over 3,000 employees worldwide, VISEO offers a dynamic and collaborative work environment.
VISEO is committed to promoting diversity, inclusion, and social responsibility.

Team Structure:

Work alongside experienced data engineers and cloud specialists in a collaborative and supportive team environment.
Contribute to VISEO's data and cloud communities, participating in weekly talks, events, and knowledge-sharing initiatives.
Collaborate with cross-functional teams, including BI, Analytics, and business stakeholders, to deliver innovative data solutions.

Development Methodology:

Follow Agile/Scrum methodologies for project management and delivery.
Participate in code reviews, testing, and quality assurance processes to ensure high-quality standards.
Leverage CI/CD pipelines and automated deployment tools for efficient and reliable software delivery.

Company Website: https://www.viseo.com/fr

📝 Enhancement Note: VISEO's commitment to fostering a collaborative and innovative work environment makes it an attractive choice for recent graduates seeking to launch their careers in data engineering.

📈 Career & Growth Analysis

Data Engineering Career Level: Entry-level Junior Data Engineer, focusing on cloud computing and data pipeline development using Microsoft Azure services.

Reporting Structure: Report directly to the Data Engineering team lead, collaborating with cross-functional teams and stakeholders.

Technical Impact: Contribute to the design and implementation of efficient cloud data architectures, enabling clients to leverage Azure's managed data services for better data-driven decision-making.

Growth Opportunities:

Develop expertise in Azure services and cloud data engineering, with opportunities for specialization in areas like data warehousing, data lakes, or real-time analytics.
Progress to intermediate and senior-level roles, taking on more complex projects and mentoring junior team members.
Explore career paths in technical leadership, architecture, or solution consulting, driving VISEO's data and cloud offerings.

📝 Enhancement Note: VISEO's commitment to employee growth and development, along with its strong focus on data and cloud technologies, presents numerous opportunities for career progression in the data engineering domain.

🌐 Work Environment

Office Type: Modern, collaborative workspace designed to foster innovation and creativity.

Office Location(s): VISEO's Toulouse office is conveniently located, with easy access to public transportation and nearby amenities.

Workspace Context:

Work in an open, collaborative environment with ample space for team interaction and knowledge-sharing.
Utilize state-of-the-art equipment and tools to ensure optimal productivity and performance.
Participate in company-wide events and initiatives, fostering a strong sense of community and belonging.

Work Schedule: Standard full-time working hours, with flexibility to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: VISEO's commitment to providing a flexible and supportive work environment enables employees to maintain a healthy work-life balance while pursuing their career goals.

📄 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 or video call to discuss your background, experience, and career goals.
On-site Interview: Visit VISEO's Toulouse office to meet the team, discuss the role in more detail, and demonstrate your technical skills through a case study or coding challenge.
Final Decision: Receive a final decision and, if successful, an offer of employment.

Portfolio Review Tips:

Highlight your experience with Microsoft Azure services and data engineering principles.
Showcase your ability to work collaboratively and adapt to different technologies and tools.
Include any relevant metrics or performance optimizations to demonstrate your technical prowess.

Technical Challenge Preparation:

Brush up on your knowledge of Azure services, data engineering concepts, and system design principles.
Practice coding challenges and case studies to refine your problem-solving skills and communication techniques.
Familiarize yourself with VISEO's company culture and values to ensure a strong fit with the team and organization.

ATS Keywords: (Organized by category)

Programming Languages: Python, SQL, NoSQL
Cloud Platforms: Microsoft Azure
Azure Services: Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Databricks, Spark
Data Engineering Tools: Apache Airflow, Apache Beam, Apache Flink, Apache Kafka, Apache NiFi
Data Visualization: Power BI, Tableau, Qlik
Methodologies: Agile, Scrum, DevOps, FinOps
Soft Skills: Collaboration, communication, problem-solving, adaptability
Industry Terms: Data pipeline, ETL, ELT, data warehouse, data lake, data mart, data mesh, data fabric, data governance, data lineage, metadata management

📝 Enhancement Note: Tailor your resume and portfolio to highlight relevant Azure services, data engineering concepts, and soft skills to increase your chances of success in the application process.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Microsoft Azure

Azure Services:

Data Services: Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics
Big Data Services: Databricks, Spark
AI & Machine Learning Services: Azure Machine Learning, Azure Databricks
IoT Services: Azure IoT Hub, Azure IoT Central
API Management: Azure API Management, Azure Logic Apps

Data Engineering Tools:

ETL/ELT Tools: Talend, Pentaho, Microsoft SQL Server Integration Services (SSIS)
Data Integration Platforms: Apache Airflow, Apache Beam, Apache Flink, Apache Kafka, Apache NiFi
Data Governance Tools: Apache Atlas, Apache Ranger, Apache Ambari

Data Visualization & BI Tools:

Data Visualization: Power BI, Tableau, Qlik
Business Intelligence Platforms: Microsoft Power BI, Tableau Server, Qlik Sense Enterprise

📝 Enhancement Note: Familiarize yourself with VISEO's preferred Azure services and tools to ensure a smooth onboarding process and maximize your impact on the team's projects.

👥 Team Culture & Values

Data Engineering Values:

Innovation: Embrace the latest Azure services and data engineering best practices to drive continuous improvement.
Collaboration: Work closely with cross-functional teams, including BI, Analytics, and business stakeholders, to deliver innovative data solutions.
Quality: Maintain high standards for data accuracy, reliability, and performance to ensure trusted and actionable insights.
Agility: Adapt quickly to changing requirements and technologies, leveraging Azure's flexible and scalable infrastructure.

Collaboration Style:

Cross-functional Integration: Work closely with designers, marketers, and other stakeholders to ensure data-driven decision-making and effective communication.
Code Review Culture: Participate in code reviews to ensure high-quality standards and knowledge-sharing.
Knowledge Sharing: Contribute to VISEO's data and cloud communities by participating in talks, events, and mentoring initiatives.

📝 Enhancement Note: VISEO's strong focus on collaboration, innovation, and continuous learning fosters a dynamic and supportive work environment for data engineering professionals.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Design and implement efficient cloud data architectures that leverage Azure's managed data services.
Develop expertise in Azure services, data engineering, and related technologies to drive innovation and growth.
Collaborate with cross-functional teams to deliver data-driven solutions that meet business objectives and user needs.

Learning & Development Opportunities:

Participate in training and certification programs to deepen your expertise in Azure services and data engineering.
Contribute to VISEO's data and cloud communities, participating in talks, events, and mentoring initiatives.
Explore career paths in technical leadership, architecture, or solution consulting, driving VISEO's data and cloud offerings.

📝 Enhancement Note: VISEO's commitment to employee growth and development, along with its strong focus on data and cloud technologies, presents numerous opportunities for technical challenges and career progression in the data engineering domain.

💡 Interview Preparation

Technical Questions:

Azure Services: Demonstrate your understanding of Azure services, including data factories, data lakes, SQL databases, and Synapse Analytics.
Data Engineering Concepts: Explain data pipeline design, ETL/ELT processes, data warehousing, and data lake architectures.
System Design: Discuss your approach to designing scalable and efficient cloud data architectures, considering performance, cost, and maintainability.

Company & Culture Questions:

VISEO Culture: Describe what you understand about VISEO's company culture and how you would contribute to its collaborative and innovative environment.
Data & Cloud Focus: Explain why you are interested in data engineering and cloud computing, and how you see your career evolving within VISEO.
Team Dynamics: Discuss your experience working in a team environment and how you would contribute to VISEO's data and cloud communities.

Portfolio Presentation Strategy:

Azure Projects: Highlight your experience with Azure services and data engineering projects, demonstrating your technical prowess and problem-solving skills.
Collaboration: Showcase your ability to work collaboratively and adapt to different technologies and tools, emphasizing your fit within VISEO's dynamic team environment.
User Impact: Explain how your data engineering projects have driven business value and improved user experiences, aligning with VISEO's commitment to data-driven decision-making.

📝 Enhancement Note: Tailor your interview preparation to VISEO's company culture, data engineering focus, and Azure technology stack to maximize your chances of success.

📌 Application Steps

To apply for this Junior Data Engineer Cloud Azure F/H position at VISEO:

Update Your Resume: Highlight your experience with Azure services, data engineering concepts, and soft skills to ensure a strong match with the role.
Prepare Your Portfolio: Showcase your Azure projects, emphasizing your technical prowess, collaboration, and user impact.
Research VISEO: Familiarize yourself with VISEO's company culture, data engineering focus, and Azure technology stack to ensure a strong fit with the team and organization.
Practice Interview Questions: Prepare for technical and company-specific interview questions, focusing on Azure services, data engineering concepts, and system design principles.
Submit Your Application: Apply through the provided link, and follow up if necessary to confirm receipt of your application.

📝 Enhancement Note: Tailor your application materials to VISEO's data engineering focus, Azure technology stack, and company culture to increase your chances of success in the application process.

Data Engineer (Cloud Azure) F/H