Lead Cloud Data Engineer

📍 Job Overview

• Job Title: Lead Cloud Data Engineer
• Company: Emerson
• Location: Cluj-Napoca, Cluj, Romania
• Job Type: On-site, Full time
• Category: Data Engineering
• Date Posted: 2025-06-23
• Experience Level: 5-10 years

🚀 Role Summary

• 📝 Enhancement Note: This role requires a seasoned cloud data engineer with a strong background in Microsoft Fabric, Azure Data Services, and Power BI to lead the design and delivery of modern data solutions. The ideal candidate will possess excellent communication skills and the ability to mentor junior engineers.

💻 Primary Responsibilities

• 📝 Enhancement Note: The primary responsibilities of this role revolve around guiding the design and delivery of modern data solutions, collaborating with technical and business teams, and building scalable data platforms. The candidate will also lead the design and implementation of cloud-native data architectures and support integration between ERP systems and enterprise data platforms.

• 📝 Enhancement Note: This role requires a hands-on approach to building and optimizing data pipelines and Data Lake solutions using tools like PySpark, T-SQL, and Power BI. The candidate will also ensure standard processes in data governance, security, and DevOps are followed across projects.

• 📝 Enhancement Note: The Lead Cloud Data Engineer will identify improvement opportunities across data flows and contribute to standardizing and streamlining processes. Additionally, the candidate will mentor and support junior engineers and data analysts, sharing knowledge and guiding solution design.

🎓 Skills & Qualifications

Education

• A university degree in Computer Science, Engineering, or a related field.

Experience

• 5+ years of experience in cloud data engineering or a similar role.

Required Skills

• 📝 Enhancement Note: Solid hands-on experience with Microsoft Fabric, Azure Data Services, Power BI, and modern data architecture principles is essential for this role.
• Strong programming skills in SQL, Power Query, DAX
• Experience with relational databases and working with large-scale datasets.
• Familiarity with ERP systems and data integration concepts.
• Clear, structured communication – both written and verbal – in English.

Preferred Skills

• Knowledge of DevOps pipelines and version control in collaborative projects.
• Understanding of API integration (REST/OData).
• Ability to communicate technical concepts to business users in a practical manner.

📊 Web Portfolio & Project Requirements

• 📝 Enhancement Note: While a portfolio is not explicitly mentioned, demonstrating relevant projects showcasing data pipeline design, data lake solutions, and data governance implementation would be beneficial for this role.

💵 Compensation & Benefits

• 📝 Enhancement Note: Salary range for this role in Cluj-Napoca, Romania is estimated to be between 35,000 RON to 50,000 RON per year, based on market research and industry standards for experienced cloud data engineers.

Benefits

• Competitive salary and benefits package
• Opportunities for professional development and growth
• Collaborative and inclusive work environment

🎯 Team & Company Context

🏢 Company Culture

• 📝 Enhancement Note: Emerson is a global technology and engineering company with a strong focus on innovation, collaboration, and diverse perspectives. The company prioritizes a workplace where every employee is valued, respected, and empowered to grow.

📈 Career & Growth Analysis

• 📝 Enhancement Note: This role offers significant growth opportunities for experienced cloud data engineers looking to advance their careers in data engineering and leadership. The candidate will have the chance to mentor junior engineers, contribute to strategic decision-making, and drive innovation in data solutions.

🌐 Work Environment

• 📝 Enhancement Note: The work environment at Emerson is collaborative and inclusive, with a focus on innovation and continuous learning. The company offers opportunities for professional development and growth, as well as a competitive benefits package.

📄 Application & Technical Interview Process

• 📝 Enhancement Note: The application process for this role may include a resume screening, phone or video interview, technical assessment, and on-site interview. The technical interview may focus on data architecture design, data pipeline optimization, and problem-solving skills related to data engineering.

🛠 Technology Stack & Web Infrastructure

• Microsoft Fabric, Azure Data Services, Power BI, SQL, Power Query, DAX, PySpark, T-SQL, ERP systems

👥 Team Culture & Values

• 📝 Enhancement Note: Emerson values innovation, collaboration, and diverse perspectives. The company fosters an environment that encourages continuous learning and growth, and prioritizes a workplace where every employee is valued, respected, and empowered to thrive.

⚡ Challenges & Growth Opportunities

• 📝 Enhancement Note: This role presents challenges in designing and implementing scalable data solutions, optimizing data pipelines, and mentoring junior engineers. Growth opportunities include advancing one's career in data engineering and leadership, as well as contributing to strategic decision-making and driving innovation in data solutions.

💡 Interview Preparation

• 📝 Enhancement Note: To prepare for the technical interview, candidates should focus on demonstrating their expertise in Microsoft Fabric, Azure Data Services, Power BI, and modern data architecture principles. Additionally, candidates should be prepared to discuss their experience with data governance, security, and DevOps processes, as well as their ability to mentor and support junior engineers.

📌 Application Steps

• Submit your application through the provided link.
• Tailor your resume and portfolio to highlight relevant projects and skills for this role.
• Prepare for the technical interview by brushing up on your knowledge of Microsoft Fabric, Azure Data Services, Power BI, and modern data architecture principles.
• Research Emerson's company culture and values to ensure a strong fit with your personal and professional goals.