Lead Data Engineer - Rail Reliability & Predictive Analytics

Wabtec; Województwo mazowieckie; On-site; PLN 150,000 - 210,000; Full time

Job summary

Wabtec in Poland seeks a data integrity and analytics professional to acquire, integrate, transform, and reconcile data from multiple sources, ensuring accuracy and completeness. You will develop cleansing, validation, and quality management processes and design data governance controls with stakeholders.

You will build analytical tools to support decision-making, model reliability, and forecast maintenance activities, while mentoring engineers and driving digitization and automation of data

Qualifications

• Master's degree in Mechanical or Production Engineering, Physics, Statistics, Data Science or similar.
• Strong English communication skills (written and verbal).
• Minimum of 3 years of working in Service Operations.
• Knowledge of mechanical and energy systems.
• Proven analytical and problem-solving skills; ability to manage large data sets.
• Knowledge of statistical tools, programming, and data analysis.
• Process-improvement mindset; digitizing processes and/or redundant tasks.
• Team player with ability to influence others.
• Proficiency in MS Office (Projects, Teams, PowerPoint, etc.).
• Experience in probability and statistical analysis.
• Knowledge of diesel and rail technology is a plus.

Responsibilities

• Acquire, integrate, transform, and reconcile data from multiple sources to ensure data accuracy and completeness.
• Develop, maintain, and enhance data cleansing, validation, and quality management processes, including data validation rules and data entry standards.
• Design and implement data governance controls, processes, and solutions in collaboration with business and technical stakeholders.
• Develop analytical, numerical, and automation tools to support business decision-making and improve operational efficiency.
• Model component reliability (deterministic and probabilistic models), forecast number of failures during contract.
• Participate as a presenter or a reviewer on technical reviews.
• Identify process gaps and improvement opportunities, driving digitization, automation, and optimization of data processing and monitoring activities.
• Provide guidance and support to less experienced engineers and contribute to team development.
• Ensure all analyses, models, and outputs are properly documented in accordance with engineering policies and standards.

Skills

Data integration

Data governance

Analytical thinking

Problem solving

Mentoring

Stakeholder collaboration

English communication

MS Office

Education

Master's degree or higher

Tools

Power BI

SQL

Python

R

Job description

Wabtec in Poland seeks a data integrity and analytics professional to acquire, integrate, transform, and reconcile data from multiple sources, ensuring accuracy and completeness. You will develop cleansing, validation, and quality management processes and design data governance controls with stakeholders.

You will build analytical tools to support decision-making, model reliability, and forecast maintenance activities, while mentoring engineers and driving digitization and automation of data