Lead Engineer, Data Analytics
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 11, 2026.
The Impact You'll Make
As our Lead Engineer, Data Analytics, you will make sure that everything we model, predict, and optimize is grounded in real thermodynamics and real-world system behaviour.
Our digital twins only create value when they accurately represent the physical systems behind them - from chillers and pump skids in data center cooling loops, to transcritical CO₂ refrigeration systems, heat pumps, and heat recovery circuits.
Your impact? You'll own the physical foundation of our digital solutions: defining how systems should be represented, challenging results that don't respect physical principles, and turning deep engineering knowledge into optimization opportunities that can be quantified, validated, and defended with customers.
This is a unique opportunity to bridge Danfoss' application engineering expertise with data analytics and digital solutions - helping us understand how systems perform today, identify how they could perform better, and turn that insight into measurable energy and cost savings.
What You’ll Be Doing
- Own the thermodynamic foundation of our digital twins, defining how refrigeration, cooling, heat pump, and heat recovery systems are represented, which assumptions apply, and where a model reaches its limits.
- Identify and quantify system optimization opportunities across customer applications, translating engineering analysis into measurable impact in terms of energy, efficiency, CO₂ emissions, and cost.
- Set the technical direction for domain modelling and validation, including simulation approaches, accuracy targets, validation methods, and acceptance criteria, while mentoring the wider team in applying sound physical reasoning.
- Work with stakeholders across product lines and business areas to understand requirements and identify scalable optimization opportunities that can be applied across customer systems.
- Safeguard measurement and data integrity, challenging telemetry that does not match physical expectations, defining virtual sensors where instrumentation is missing or unreliable, and determining which data is trustworthy enough to use for modelling and optimization.
What We're Looking For
We're looking for an experienced engineer who combines deep thermodynamic knowledge with analytical thinking, practical problem-solving, and the ability to influence others.
- Deep knowledge of thermodynamics and a degree in Mechanical, Energy, Process, Chemical Engineering, or a related engineering discipline.
- Working proficiency in Python, SQL, Bash, or another programming language for engineering data analysis, with the ability to work comfortably with complex and imperfect time-series plant data using tools such as pandas, NumPy, and standard plotting libraries.
- A proven track record of delivering quantified improvements, ideally through projects that have led to measurable improvements in processes, products, energy efficiency, or system performance.
- The ability to set technical direction, challenge assumptions, and review engineering work, while explaining complex thermodynamic concepts clearly to both technical and commercial stakeholders.
- Excellent English communication skills and the ability to collaborate effectively across functions, disciplines, locations, and levels of seniority.
What You'll Get from Us
- The opportunity to work at the intersection of thermodynamics, data analytics, digital twins, and AI, helping shape how Danfoss uses digital technologies to improve the performance of real-world systems.
- A highly visible technical role where your engineering expertise will directly influence customer solutions, product development, and measurable energy and efficiency improvements.
- Collaboration with talented colleagues across Data Science, Data Engineering, Application Engineering, Controls, Simulation, and business teams in an international environment.
- The opportunity to build and shape reusable, validated system models and optimization methods, while developing your expertise in areas such as digital twins, industrial analytics, simulation, and energy optimization.
- A culture where physics comes first, knowledge is shared, and senior engineers are expected to make others better - with the freedom to challenge assumptions, experiment, and continuously improve how we solve problems.
Ready to Make a Difference?
If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.
We’d appreciate receiving your CV in English, as you’ll be working in an international environment. And one small heads-up: our Talent Acquisition Partner supporting this recruitment is based in Poland, so your first call may come from an international phone number. We look forward to speaking with you!
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Our Commitment to Transparency
Salary ranges listed reflect only primary location and currency. For local salary ranges and specific benefits in your preferred hiring location, please ask your Talent Acquisition representative for more information.
The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Any benefits listed do not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.