Parts Planning Development Engineer

Cargotec Corporation; Województwo pomorskie; Hybrid; PLN 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Private medical care

Life insurance

Flexible hybrid working

Parking subsidy

MultiSport card

Medicover Sport card

Free coffee and tea

Fruit Wednesdays

Zusammenfassung

Hiab in Poland seeks a Parts Planning Development Engineer to advance spare parts forecasting, inventory optimization, and planning parameter configuration across the Spare Parts Supply Chain. You will collaborate with the End-to-End Planning Manager to translate strategy into model improvements and deliver measurable results.

The role requires a strong background in demand and inventory planning, statistics, and experience with analytical tools such as Excel, SQL, Power BI/Tableau.

Qualifikationen

• Master’s degree in a quantitative field such as SCM, logistics, industrial engineering or applied statistics.
• Strong background in demand and inventory planning for high-variety, intermittent, or slow-moving spare parts.
• Solid grounding in statistics and supply chain theory; translate models into practical planning rules.
• Proficiency with analytical tools including Excel, SQL, and modern BI platforms (Power BI, Tableau, or QlikView).
• Familiarity with machine learning and AI, with interest or experience in forecasting and inventory optimization.
• Continuous improvement mindset; Lean, Six Sigma, or root-cause analysis exposure is a plus.

Aufgaben

• Apply forecasting models to improve accuracy across complex demand profiles, including intermittent parts.
• Configure and test Multi-Echelon Optimization parameters across the distribution network.
• Analyze model performance and bottlenecks to shorten lead times and prevent downtime.
• Evaluate business impact of changes to service levels and network configurations.
• Collaborate with End-to-End Planners to turn feedback into automated model improvements.
• Support deployment of planning models to new locations and maintain process documentation.

Kenntnisse

Forecasting

Inventory planning

Statistics

Excel

SQL

Power BI

Tableau

QlikView

Ausbildung

Master’s degree in Supply Chain/Logistics/Industrial Engineering/Applied Statistics

Tools

Excel

SQL

Power BI

Tableau

QlikView

Jobbeschreibung

Hiab is the pioneer in smart and sustainable on road load handling solutions. We believe in more than just work — we believe in making a difference for our customers to building a better tomorrow.

Your mission

Do you love turning unpredictable demand into high-precision inventory models? Are you ready to leverage AI, machine learning, and MEO to automate supply chain planning? Would you like your data models to directly prevent equipment downtime?

If so, we have an exciting opportunity for you as our next Parts Planning Development Engineer.

As Parts Planning Development Engineer you would be responsible for developing and improving the spare parts planning model - focusing on forecasting accuracy, inventory optimisation settings, and planning parameter configuration across the Spare Parts Supply Chain. The role works closely with the End-to-End Planning Manager and planning system Solution Owner to translate planning strategy into model improvements, and with End-to-End planners to ensure developments are practical and deliver measurable results.

Key responsibilities

• Apply AI- and statistics-based forecasting models to improve accuracy across complex demand profiles, especially intermittent and slow-moving spare parts
• Configure, calibrate, and test Multi-Echelon Optimization (MEO) parameters across the distribution network to balance high parts availability with optimized inventory investment
• Analyze planning model underperformance and supply chain bottlenecks to shorten repair-part lead times and proactively prevent recurring machine downtime Vehicle Off Road (VOR) incidents
• Model and evaluate the business impact of proposed adjustments to service-level targets, network configurations, and demand assumptions for scheduled model release cycles
• Partner closely with End-to-End Planners to investigate manual intervention patterns and exception volumes, turning front-line operational feedback into automated model enhancements
• Support the deployment of planning models to new inventory locations, maintain core planning process documentation, and act as the operational backup to the Servigistics Solution Owner.

What we are looking for

• Master’s degree in Supply Chain Management, Logistics, Industrial Engineering, Applied Statistics, or a related quantitative field
• Solid background in demand and inventory planning, ideally dealing with high-variety, intermittent, or slow-moving spare parts demand patterns
• Strong foundation in statistics and supply chain theory, with the ability to translate complex mathematical models into practical planning rules
• Proficiency in analytical tools, including advanced Excel, SQL, and modern BI platforms (Power BI, Tableau, or QlikView)
• Familiarity with machine learning & AI, with a strong interest or hands-on experience in applying predictive algorithms to forecasting and inventory optimization
• Continuous improvement mindset, with exposure to Lean, Six Sigma, or structured root-cause analysis considered a strong plus

What we offer

As a part of our Employees First culture, we offer opportunities to grow within a dynamic environment that values flexibility and your well-being. We strive to make things easier, empower you to succeed, and strive for excellence in a positive and inclusive environment.

Our benefits include

• Private medical care in Medicover
• Life insurance
• Flexible hybrid working
• Subsidy for parking costs
• MultiSport or Medicover Sport card
• Free coffee and tea plus Fruit Wednesdays

We Are Hiab Hiab (Nasdaq Helsinki: HIAB) is a leading provider of smart and sustainable on road load-handling solutions, committed to delivering the best customer experience every day with the most engaged people and partners. As the industry pioneer, Hiab continues to make on road load-handling smarter, safer and more sustainable to build a better tomorrow.