Data & ML Engineer

Camlin Group; Parma; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Daily food vouchers

Training Support

Discounted Gym Membership

Wellness Programs

Kudos: Internal Reward & Recognition

Job summary

Camlin Group is seeking a Data & ML Engineer to turn complex industrial data into valuable product capabilities. You will work with engineers, product teams, and domain experts to apply data engineering, statistics, and machine learning in production-ready solutions.

You will explore challenging datasets, build scalable data pipelines, and translate analytical findings into practical, maintainable code that powers our asset monitoring and predictive maintenance offerings.

Qualifications

• Strong Python and SQL skills with hands-on data analysis experience.
• Experience in statistical modeling and machine learning.
• Familiarity with data pipelines, data quality, and model evaluation/validation.
• Proven ability to deliver maintainable, production-ready code.

Responsibilities

• Translate product and engineering challenges into practical, data-driven solutions.
• Explore and analyze complex datasets to identify patterns and opportunities.
• Develop and evaluate models for asset monitoring, forecasting, and optimization.
• Build and improve data pipelines and tooling for reliable data-driven capabilities.
• Turn findings into practical implementations integrated in products.
• Evaluate performance and continuously improve solutions based on data.
• Make sound technical decisions balancing impact and maintainability.
• Communicate findings and trade-offs clearly across teams.

Skills

Python

SQL

Data analysis

Statistical modeling

Machine learning

Data pipelines

Git

Testing

Documentation

Model evaluation

Communication

Collaboration

Problem solving

Tools

Git

Jupyter

APIs

Job description

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.