Reliability Engineer, Data Analytics

Location: Hyvinkää, Finland

Company

hirify.global develops material handling solutions and operates globally with more than 16,000 professionals in over 50 countries.

What you will do

• Analyze reliability, service, usage, and testing data from products and field operations.
• Develop insights supporting product development, service business, and quality improvement.
• Participate in reliability investigations, root cause analyses, and claim assessments.
• Support predictive maintenance and reliability modelling initiatives.
• Create reports, visualizations, and presentations for data-driven decisions.
• Collaborate with product development, service, quality, and other business functions while advancing reliability analytics capabilities.

Requirements

• Master’s degree in Data Analytics, Computer Science, or another engineering field.
• A few years of experience in product-related big data analytics or product knowledge from the machine industry.
• Strong analytical and problem-solving skills.
• Interest in data analysis, reliability engineering, and industrial products.
• Ability to learn new tools, technologies, and business domains quickly.
• Good communication skills in English.

Nice to have

• Experience with statistical analysis, machine learning, data-based forecasting, and data visualization.
• Experience with Databricks, Python, SQL, Power BI, and Git.
• Experience working with IoT and time series data.

Culture & Benefits

• Work with unique datasets, modern analytics methods, and experienced reliability engineering specialists.
• Contribute to product reliability, safety, and sustainability in an international environment.
• Build expertise in reliability engineering, data, and analytics.
• hirify.global promotes diversity and an inclusive workplace free from discrimination.

Hiring process

• Submit the application in English by 8 November 2026.
• Contact Marion Soon, Global Talent Acquisition Specialist, with questions.