📍 Job Overview

Job Title: Data Engineer - Azure Cloud Specialist
Company: Babel Group
Location: San José, Costa Rica
Job Type: On-site
Category: Data Engineering
Date Posted: June 17, 2025
Experience Level: Mid-level (2-5 years)

🚀 Role Summary

Design and implement robust, scalable, and secure data solutions in Microsoft Azure.
Collaborate cross-functionally to enable advanced analytics and business intelligence capabilities.
Play a key role in data consolidation, transformation, and integration from diverse sources.

📝 Enhancement Note: This role requires a strong focus on data engineering principles, Azure cloud expertise, and collaboration skills to deliver end-to-end data solutions.

💻 Primary Responsibilities

Data Pipeline Development: Design and develop data pipelines using Azure Data Factory and Azure Synapse Analytics.
Data Storage Administration: Manage and optimize data storage in Azure Data Lake Gen2, SQL Database, and SQL Managed Instance.
Data Modeling: Build efficient data models to support analysis, reporting, and data visualization.
Collaboration: Work closely with architects, analysts, and data scientists to deliver integrated data solutions.
CI/CD Automation: Automate integration and delivery processes using Azure DevOps.
Documentation: Document processes to ensure traceability, quality, and compliance with data governance standards.

📝 Enhancement Note: This role emphasizes hands-on data engineering tasks, requiring proficiency in Azure cloud services and data modeling techniques.

🎓 Skills & Qualifications

Education: A bachelor's degree in Systems Engineering, Computer Science, or a related field is required.

Experience: At least 3 years of experience as a Data Engineer, preferably in Microsoft Azure cloud environments.

Required Skills:

Proficiency in SQL and Python.
Experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Gen2, and Azure SQL Database/SQL Managed Instance.
Knowledge of Data Lakehouse architecture, dimensional modeling, and data design best practices.

Preferred Skills:

Azure Data Engineer Associate certification (DP-203).
Familiarity with emerging Microsoft technologies like Microsoft Fabric.
Experience in DataOps, data security, and information governance.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in designing and implementing data pipelines using Azure Data Factory and Azure Synapse Analytics.
Showcase data storage management and optimization skills in Azure Data Lake Gen2, SQL Database, and SQL Managed Instance.
Highlight data modeling and data visualization projects that support advanced analytics and business intelligence.

Technical Documentation:

Provide documentation showcasing your process for designing, implementing, and maintaining data pipelines and data storage solutions.
Include examples of how you have ensured data quality, security, and compliance with relevant standards.

📝 Enhancement Note: This role requires a strong portfolio demonstrating hands-on data engineering experience, with a focus on Azure cloud services and data modeling techniques.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in San José, Costa Rica is between ₡6,000,000 and ₡8,000,000 per year (approximately $10,500 - $14,000 USD). This estimate is based on market research and regional salary standards for mid-level data engineering roles in the cloud computing industry.

Benefits:

Professional development opportunities.
Health and wellness programs.
Flexible work hours.
Referral bonus.

Working Hours: The standard workweek is 40 hours, with flexible scheduling for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on market research and regional salary standards for mid-level data engineering roles in the cloud computing industry. Actual compensation may vary based on factors such as experience, skills, and company-specific policies.

🎯 Team & Company Context

Company Culture:

Industry: Babel Group is a multinational technology consulting firm specializing in digital acceleration services for large enterprises and public organizations.
Company Size: Babel Group is an expanding company with a strong focus on growth and innovation.
Founded: Babel Group was founded in 2005 and has since grown to become a leading technology consulting firm in Latin America.

Team Structure:

The data engineering team at Babel Group consists of experienced professionals specializing in cloud data management, data integration, and data analytics.
The team follows an Agile/Scrum methodology, with regular sprint planning and cross-functional collaboration.
Data engineers work closely with architects, analysts, and data scientists to deliver integrated data solutions.

Development Methodology:

Babel Group follows an Agile/Scrum development methodology, with regular sprint planning and continuous integration/continuous deployment (CI/CD) pipelines.
The company emphasizes code review, testing, and quality assurance practices to ensure high-quality data solutions.
Babel Group uses Azure DevOps for automated deployment, infrastructure as code (IaC), and version control.

Company Website: www.thebabelgroup.com

📝 Enhancement Note: Babel Group's culture emphasizes collaboration, innovation, and continuous learning, with a strong focus on delivering high-quality data solutions to clients in various industries.

📈 Career & Growth Analysis

Data Engineering Career Level: This role is at the mid-level (2-5 years of experience) and focuses on designing, implementing, and maintaining data pipelines and data storage solutions in Microsoft Azure. The role requires strong technical skills in data engineering, with a focus on cloud services and data modeling techniques.

Reporting Structure: This role reports directly to the Data Engineering Manager and works closely with cross-functional teams, including data architects, analysts, and data scientists.

Technical Impact: The data engineer plays a crucial role in enabling advanced analytics and business intelligence capabilities by consolidating, transforming, and integrating data from diverse sources. This role has a significant impact on data-driven decision-making and user experience.

Growth Opportunities:

Technical Progression: As a mid-level data engineer, there are opportunities to grow into senior roles, focusing on architecture, team leadership, or specialized domains like data science or machine learning.
Emerging Technologies: Babel Group encourages its employees to stay up-to-date with emerging technologies, providing opportunities to work with cutting-edge tools and platforms like Microsoft Fabric.
Cross-functional Collaboration: Working closely with architects, analysts, and data scientists offers opportunities to learn from and contribute to various aspects of the data lifecycle.

📝 Enhancement Note: Babel Group's focus on growth and innovation provides ample opportunities for mid-level data engineers to advance their careers, learn new technologies, and collaborate with cross-functional teams.

🌐 Work Environment

Office Type: Babel Group's office in San José, Costa Rica, is a collaborative workspace designed to foster innovation and teamwork.

Office Location(s): The office is conveniently located in the heart of San José, with easy access to public transportation and amenities.

Workspace Context:

Collaboration: The workspace encourages collaboration and communication, with open-plan work areas and dedicated meeting spaces.
Technology: Babel Group provides state-of-the-art development tools, multiple monitors, and testing devices to ensure optimal productivity.
Flexibility: The work environment offers flexible scheduling for deployment windows, maintenance, and project deadlines.

Work Schedule: The standard workweek is 40 hours, with flexible scheduling for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: Babel Group's work environment emphasizes collaboration, innovation, and flexibility, providing data engineers with the tools and support they need to succeed.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on assessment focusing on data pipeline design, data storage management, and data modeling techniques using Azure cloud services.
Architecture Discussion: A discussion on data architecture, data governance, and data security best practices.
Team Fit Assessment: A conversation to evaluate cultural fit, communication skills, and problem-solving abilities.
Final Evaluation: A comprehensive evaluation of technical skills, cultural fit, and potential for growth.

Portfolio Review Tips:

Highlight your experience in designing and implementing data pipelines using Azure Data Factory and Azure Synapse Analytics.
Showcase your data storage management and optimization skills in Azure Data Lake Gen2, SQL Database, and SQL Managed Instance.
Include examples of data modeling and data visualization projects that support advanced analytics and business intelligence.
Provide documentation demonstrating your process for designing, implementing, and maintaining data pipelines and data storage solutions.

Technical Challenge Preparation:

Brush up on your Azure cloud services skills, with a focus on data pipeline design, data storage management, and data modeling techniques.
Practice explaining complex technical concepts in a clear and concise manner.
Familiarize yourself with Babel Group's company culture and values.

ATS Keywords: [Provided in the "🛠 Technology Stack & Web Infrastructure" section]

📝 Enhancement Note: Babel Group's interview process emphasizes technical skills, cultural fit, and potential for growth, with a focus on data engineering expertise in Microsoft Azure cloud services.

🛠 Technology Stack & Web Infrastructure

Azure Cloud Services:

Azure Data Factory: Design and implement data integration, transformation, and movement pipelines.
Azure Synapse Analytics: Build and manage data warehouses and data lakes for big data analytics.
Azure Data Lake Gen2: Store and manage large datasets in a secure, scalable, and cost-effective manner.
Azure SQL Database/SQL Managed Instance: Design, implement, and manage relational databases for transactional and analytical workloads.

Data Modeling & Visualization:

Power BI: Create interactive data visualizations and dashboards for business intelligence and analytics.
Azure Analysis Services: Develop semantic data models for enterprise-level business intelligence solutions.

Development & DevOps Tools:

Azure DevOps: Implement CI/CD pipelines, version control, and automated deployment for data engineering projects.
Git: Collaborate on code development and management using version control systems.
Python: Develop data engineering scripts, ETL processes, and data analysis tools using Python.

📝 Enhancement Note: Babel Group's technology stack emphasizes Microsoft Azure cloud services, with a focus on data engineering, data modeling, and data visualization tools.

👥 Team Culture & Values

Data Engineering Values:

Innovation: Continuously explore and adopt new technologies and best practices to improve data engineering processes.
Collaboration: Work closely with cross-functional teams to deliver integrated data solutions that meet business needs.
Quality: Ensure data accuracy, security, and compliance with relevant standards and regulations.
Continuous Learning: Stay up-to-date with emerging technologies and industry trends to enhance data engineering skills.

Collaboration Style:

Cross-functional Integration: Collaborate with architects, analysts, and data scientists to deliver end-to-end data solutions.
Code Review Culture: Participate in code reviews to ensure high-quality data engineering practices.
Knowledge Sharing: Share expertise and learn from colleagues to foster a culture of continuous learning and improvement.

📝 Enhancement Note: Babel Group's data engineering team values collaboration, innovation, and continuous learning, with a strong focus on delivering high-quality data solutions that meet business needs.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Pipeline Complexity: Design and implement complex data pipelines that integrate data from diverse sources, transform data into meaningful structures, and deliver data to downstream systems.
Data Storage Optimization: Optimize data storage solutions to ensure scalability, performance, and cost-effectiveness.
Data Governance & Security: Ensure data quality, security, and compliance with relevant standards and regulations, while balancing accessibility and usability.
Emerging Technologies: Stay up-to-date with emerging technologies and industry trends to enhance data engineering processes and deliver innovative solutions.

Learning & Development Opportunities:

Technical Skill Development: Enhance data engineering skills through training, certifications, and hands-on projects.
Emerging Technologies: Explore and adopt emerging technologies like Microsoft Fabric to stay ahead of the curve.
Leadership Development: Develop leadership skills through mentoring, coaching, and team management opportunities.

📝 Enhancement Note: Babel Group offers numerous challenges and growth opportunities for data engineers, with a focus on continuous learning, innovation, and collaboration.

💡 Interview Preparation

Technical Questions:

Data Pipeline Design: Describe your experience in designing and implementing data pipelines using Azure Data Factory and Azure Synapse Analytics.
Data Storage Management: Explain your approach to managing and optimizing data storage solutions in Azure Data Lake Gen2, SQL Database, and SQL Managed Instance.
Data Modeling & Visualization: Discuss your experience in data modeling and data visualization, with a focus on supporting advanced analytics and business intelligence.

Company & Culture Questions:

Data Engineering at Babel Group: Explain what you understand about data engineering at Babel Group and how your skills and experience align with the role.
Collaboration & Communication: Describe your experience working with cross-functional teams and how you ensure effective communication and collaboration.
Problem-solving: Provide an example of a complex data engineering challenge you faced and how you approached solving it.

Portfolio Presentation Strategy:

Data Pipeline Demonstration: Showcase your experience in designing and implementing data pipelines using Azure Data Factory and Azure Synapse Analytics.
Data Storage Management: Highlight your approach to managing and optimizing data storage solutions in Azure Data Lake Gen2, SQL Database, and SQL Managed Instance.
Data Modeling & Visualization: Include examples of data modeling and data visualization projects that support advanced analytics and business intelligence.

📝 Enhancement Note: Babel Group's interview process emphasizes technical skills, cultural fit, and potential for growth, with a focus on data engineering expertise in Microsoft Azure cloud services.

📌 Application Steps

To apply for this Data Engineer - Azure Cloud Specialist position at Babel Group:

Customize Your Portfolio: Highlight your experience in designing and implementing data pipelines using Azure Data Factory and Azure Synapse Analytics. Include examples of data storage management, data modeling, and data visualization projects that support advanced analytics and business intelligence.
Optimize Your Resume: Tailor your resume to emphasize your data engineering skills and experience, with a focus on Microsoft Azure cloud services. Highlight relevant project achievements and technical skills.
Prepare for Technical Interviews: Brush up on your Azure cloud services skills, with a focus on data pipeline design, data storage management, and data modeling techniques. Practice explaining complex technical concepts in a clear and concise manner.
Research Babel Group: Familiarize yourself with Babel Group's company culture, values, and data engineering team dynamics. Understand how your skills and experience align with the role and the company's mission.

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

Ingeniero/a de Datos Cloud – Azure