Job Description
Position: Industrial Data Analytics Platform Developer
Company: Rockwell Automation
Location: Kairouan, Tunisia
Experience: 5+ years
Education: Master’s degree in Computer Science, Data Science, Software Engineering, or related field
Employment Type: Full-time
Industry: Manufacturing Analytics & Industrial AI
Department: Software Development & Data Analytics
Vacancies:1
Company Overview
Rockwell Automation is a global leader in industrial automation and digital transformation, dedicated to improving the productivity and sustainability of the world’s manufacturers. With over a century of innovation, we connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and sustainable. Our Tunisian operations serve as a strategic hub for developing cutting-edge industrial software solutions that drive the future of smart manufacturing across Europe, the Middle East, and Africa.
Our Kairouan development center focuses on creating next-generation industrial data analytics platforms that transform manufacturing operations through artificial intelligence, machine learning, and real-time data processing. We are committed to fostering local talent and providing world-class career opportunities in Tunisia’s growing technology sector. As we expand our analytics capabilities, we seek passionate professionals who want to build the industrial software platforms that will power Industry 4.0 across global manufacturing enterprises.
Job Overview
We are seeking an experienced Industrial Data Analytics Platform Developer to join our growing team in Kairouan. This role involves designing, developing, and deploying scalable data analytics platforms specifically tailored for industrial manufacturing environments. You will work with massive streams of real-time operational technology (OT) data from factory floors, developing algorithms and applications that provide predictive insights, optimize production processes, and enable data-driven decision-making for our global clients.
The successful candidate will bridge the gap between traditional industrial automation systems and modern cloud-native analytics, creating solutions that help manufacturers improve efficiency, reduce downtime, and enhance product quality. You will collaborate with cross-functional teams including data scientists, industrial engineers, and product managers to translate complex manufacturing challenges into robust software solutions. This position offers exceptional opportunities for professional growth in one of the most dynamic sectors of technology and manufacturing.
For more Jobs in Tunisia and Career Opportunities in Tunisia, visit our partner portal at https://tunisiajobsearch.com.
Key Responsibilities
- Design and develop scalable microservices architecture for industrial data ingestion, processing, and analytics.
- Implement real-time data pipelines connecting factory floor equipment (PLCs, sensors, SCADA systems) to cloud analytics platforms.
- Develop and optimize time-series databases and data models specifically for industrial manufacturing data.
- Create APIs and integration frameworks that allow manufacturing execution systems (MES) and enterprise resource planning (ERP) systems to consume analytics insights.
- Build visualization dashboards and reporting tools that present complex industrial data in actionable formats for operations teams.
- Implement machine learning models into production systems for predictive maintenance, quality control, and process optimization.
- Ensure platform security, reliability, and performance through rigorous testing and monitoring frameworks.
- Collaborate with industrial engineers to understand domain-specific requirements and translate them into technical specifications.
- Stay current with emerging technologies in industrial IoT, edge computing, and manufacturing analytics.
- Document architecture decisions, development processes, and platform capabilities for internal and customer use.
Required Skills
- Expert proficiency in Python, Java, or Go for backend development with industrial applications.
- Strong experience with time-series databases (InfluxDB, TimescaleDB) and data streaming platforms (Apache Kafka, Apache Pulsar).
- Deep understanding of industrial communication protocols (OPC UA, MQTT, Modbus, EtherNet/IP).
- Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP) in industrial contexts.
- Proven ability to design and implement RESTful APIs and microservices architectures.
- Knowledge of data modeling techniques specifically for manufacturing and industrial data.
- Familiarity with industrial automation systems, PLC programming, and manufacturing operations.
- Strong problem-solving skills with the ability to debug complex distributed systems.
- Excellent collaboration and communication skills for working with cross-functional teams.
- Understanding of cybersecurity principles as applied to industrial control systems.
Education
A Master’s degree in Computer Science, Data Science, Software Engineering, or a related technical field is required. Additional certifications in cloud architecture, data engineering, or industrial automation are highly desirable. Candidates should demonstrate continuous learning through professional development in emerging industrial software technologies.
Experience
Minimum 5 years of professional software development experience with at least 3 years specifically focused on data-intensive applications. Industrial or manufacturing domain experience is essential. Proven track record of developing and deploying production-grade data platforms. Experience with the full software development lifecycle in an agile environment. Previous work with global distributed teams is advantageous.
Benefits
- Competitive salary package with performance-based bonuses
- Comprehensive health insurance for employee and family
- Professional development budget for certifications and training
- Flexible working arrangements with remote work options
- State-of-the-art development tools and equipment
- Opportunities for international travel and collaboration
- Retirement savings plan with company matching
- Wellness programs and on-site facilities
- Continuous learning through internal and external training programs
- Exposure to cutting-edge industrial technology projects
Training
- Comprehensive onboarding program covering industrial automation fundamentals
- Specialized training in Rockwell Automation’s software ecosystem
- Advanced certifications in cloud architecture and data engineering
- Regular workshops on emerging industrial IoT technologies
- Leadership development programs for career advancement
- Cross-functional training with engineering and product teams
- Access to global technical conferences and industry events
- Mentorship programs with senior developers and architects
Working Environment
Our Kairouan office provides a modern, collaborative workspace designed to foster innovation and productivity. You’ll work alongside talented professionals in a culture that values technical excellence, continuous improvement, and knowledge sharing. We maintain strong connections with our global teams through regular virtual collaboration and occasional international exchanges. The environment balances focused individual work with team-based problem solving on complex industrial challenges.
Application Process
To apply for this Job Vacancy in Tunisia, please submit your updated CV and cover letter through our online portal. The selection process includes initial screening, technical assessment, and interviews with the hiring team. We value diversity in experience and perspective and encourage all qualified candidates to apply. For additional Employment in Tunisia resources, visit https://www.eswatinijobsearch.com/.
Equal Opportunity Statement
Rockwell Automation is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of gender, age, race, religion, disability, or national origin. Our hiring decisions are based solely on qualifications, merit, and business needs. We are dedicated to providing reasonable accommodations for candidates with disabilities throughout our recruitment process.