Data & ML Engineer

Camlin Energy Ltd; Parma; Hybride; EUR 60 000 - 95 000; Plein temps

Avantages offerts par ce poste

Daily food vouchers

Training Support

Discounted Gym Membership

Wellness Programs

Kudos: Recognition Tool

Résumé du poste

Camlin Energy Ltd is seeking a Data & ML Engineer to turn complex industrial data into valuable product capabilities. You will combine data engineering, modeling, and practical implementation to solve real-world problems.

You will collaborate with engineers, product teams, and domain experts to deliver data-driven solutions, with a pragmatic, results-oriented mindset and a focus on creating tangible value for customers.

Qualifications

• Strong Python programming skills and proficiency in SQL.
• Practical experience with data analysis, statistical modeling, and machine learning.
• Knowledge of techniques such as classification, regression, anomaly detection, forecasting, or optimization.
• Experience working with complex datasets and developing data-driven solutions.
• Solid engineering fundamentals, including Git, testing, documentation, and maintainable code.
• Understanding of data pipelines, data quality, model evaluation, and validation.
• A pragmatic, results-oriented mindset, with the ability to take ownership of problems from initial investigation through implementation.
• Strong problem-solving, communication, and collaboration skills.

Responsabilités

• Translate product and engineering challenges into practical, data-driven solutions in collaboration with relevant stakeholders.
• Explore and analyze complex datasets to identify patterns, anomalies, and opportunities for improvement.
• Develop and evaluate statistical models and machine learning approaches for applications such as asset monitoring, predictive maintenance, forecasting, and optimization.
• Build and improve data pipelines, transformations, and supporting tooling to enable reliable data-driven capabilities.
• Turn analytical findings and modeling approaches into practical, maintainable implementations that can be integrated into our products.
• Evaluate performance, investigate issues, and continuously improve solutions based on data, technical evidence, and real-world results.
• Make sound technical decisions, balancing effectiveness, complexity, maintainability, and implementation effort.
• Communicate findings and technical trade-offs clearly, working across engineering, product, and domain teams.

Connaissances

Python

SQL

Data Analysis

Statistical Modeling

Machine Learning

Classification

Regression

Anomaly Detection

Forecasting

Optimization

Git

Testing

Documentation

Data Pipelines

Data Quality

Model Evaluation

Validation

Problem Solving

Communication

Collaboration

Description du poste

company

About Camlin

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.

role

About the role

At Camlin, we develop technologies that help customers improve operational performance through asset monitoring, asset optimization, and predictive maintenance.

As a Data & ML Engineer, you'll help turn complex industrial data and domain knowledge into valuable product capabilities. Working closely with engineers, product teams, and domain experts, you'll combine data engineering, statistical modeling, machine learning, and practical implementation to solve real-world problems.

You'll have the opportunity to explore challenges, identify promising approaches, and turn them into effective, reliable solutions. We're looking for someone who combines analytical thinking with an engineering mindset, takes a pragmatic approach to problem-solving, and focuses on creating tangible value for our customers.

Responsibilities

• Translate product and engineering challenges into practical, data-driven solutions in collaboration with relevant stakeholders.
• Explore and analyze complex datasets to identify patterns, anomalies, and opportunities for improvement.
• Develop and evaluate statistical models and machine learning approaches for applications such as asset monitoring, predictive maintenance, forecasting, and optimization.
• Build and improve data pipelines, transformations, and supporting tooling to enable reliable data-driven capabilities.
• Turn analytical findings and modeling approaches into practical, maintainable implementations that can be integrated into our products.
• Evaluate performance, investigate issues, and continuously improve solutions based on data, technical evidence, and real-world results.
• Make sound technical decisions, balancing effectiveness, complexity, maintainability, and implementation effort.
• Communicate findings and technical trade-offs clearly, working across engineering, product, and domain teams.

What you'll need

• Strong Python programming skills and proficiency in SQL.
• Practical experience with data analysis, statistical modeling, and machine learning.
• Knowledge of relevant techniques such as classification, regression, anomaly detection, forecasting, or optimization.
• Experience working with complex datasets and developing data-driven solutions.
• Solid engineering fundamentals, including Git, testing, documentation, and maintainable code.
• Understanding of data pipelines, data quality, model evaluation, and validation.
• A pragmatic, results-oriented mindset, with the ability to take ownership of problems from initial investigation through implementation.
• Strong problem-solving, communication, and collaboration skills.

What will help you stand out

• Experience with industrial, IoT, sensor, or time-series data.
• Familiarity with predictive maintenance, asset monitoring, or industrial optimization.
• Experience integrating and maintaining data-driven capabilities in production environments.
• Experience working with domain experts to translate complex operational problems into practical technical solutions.

Benefits:

• Daily food vouchers: for days worked in person in the premises.
• Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development.
• Discounted Gym Membership: Stay fit with our discounted gym membership program.
• Wellness Programs: We prioritise your well-being through our wellness initiatives.
• Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.

Our Values

• We work together
• We believe in people
• We won’t accept the ‘way it has always been done’
• We listen to learn
• We’re trying to do the right thing

Equal Employment Opportunity Statement

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.