Data Analytics & Low-Code Software Engineer

Job Title: Data Analytics & Low-Code Software Engineer
Location: Doha, Qatar
Job Type: Full-time (12-month extendable contract)
Salary: QAR 7,500 (All-inclusive)
Working Days: Sunday to Thursday
Working Hours: 8:00 AM – 5:00 PM

Job Overview

Our client a leading global technology company is seeking a skilled and driven Data Analytics & Low-Code Software Engineer to join their growing digital team in Doha. This role combines data engineering, analytics, and low-code application development to deliver scalable, data-driven solutions that enhance business performance and operational efficiency.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and analytics solutions
• Transform raw data into actionable insights using modern analytics tools
• Build and deploy applications using low-code/no-code platforms (e.g., Mendix, Power Apps, OutSystems)
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Integrate data from multiple sources including databases, APIs, and cloud platforms
• Develop dashboards and visualizations using tools such as Power BI, Tableau, or similar
• Ensure data quality, governance, and security standards are maintained
• Optimize performance of data workflows and applications
• Support automation initiatives to improve efficiency

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Minimum 3 years of experience in data analytics, data engineering, or software development
• Strong hands-on experience with SQL, Python, or similar programming languages
• Experience with low-code platforms (Mendix preferred; Siemens ecosystem is a plus)
• Solid understanding of data modeling, ETL processes, and data warehousing
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud
• Experience with data visualization tools (Power BI, Tableau, etc.)
• Strong analytical and problem-solving skills

Preferred Skills

• Experience in industrial, manufacturing, or IoT environments
• Knowledge of APIs, microservices architecture, and system integrations
• Familiarity with Agile/Scrum methodologies
• Basic understanding of AI/ML concepts

Key Competencies

• Strong communication and stakeholder management skills
• Ability to work both independently and collaboratively
• High attention to detail and commitment to quality
• Continuous learning mindset

Please note that applicants should answer the pre-screening questions to be considered for this position

THOSE WHO CAN JOIN IMMEDIATELY SHOULD APPLY. REGRETTABLY ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

About Job Hub Global

At Job Hub Global, we believe that people are at the heart of every great organization. As a premier HR consultancy, we are passionate about helping businesses thrive by providing bespoke recruitment, staff outsourcing, workforce solutions, and HR management consultancy services that are tailored to meet your unique needs.

With a deep understanding of the evolving workplace, we are committed to connecting exceptional talent with exceptional companies. Our mission is to empower businesses with the right people, processes, and strategies to drive success. Whether you’re looking to build a high-performing team, streamline your workforce, or navigate the complexities of HR management, Job Hub Global is here to partner with you every step of the way.

Together, we’ll turn challenges into opportunities and dreams into achievements. Your success is our business

Job Types: Full-time, Contract
Contract length: 12 months

Pay: Up to QAR7,500.00 per month

Application Question(s):

• How many years of experience do you have in data analytics, data engineering, or software development?
• Which programming languages are you proficient in?
• Which low-code/no-code platforms have you worked with?
• How soon can you join should you be selected for this position?
• Do you have a valid QID and transferable visa?
• Do you accept the all-inclusive salary on offer?

Work Location: In person