We’re looking for highly qualified candidates to join as Project Engineer in the S4M - Sustainable Material Management Maturity Model S4M research project, Finland. The position is fixed-term from 16 Jan 2025 (or as agreed) to 31 Dec 2026.

With recent project funding, we’re expanding our team to hire a dedicated Project Engineer passionate about sustainability, ERP systems, and cutting-edge technology.

Your primary responsibility will be to develop and implement a cloud-based data infrastructure, process sustainability KPIs, and integrate ERP systems. You will work at the intersection of data science, software development, and sustainability, building predictive tools and simulations to guide data-driven decisions for our ecosystem. You will work in a dynamic team, where we drive material management sustainability through advanced data integration, AI-driven analytics, and innovative visualization.

WHAT WE EXPECT

- A robust technical background in cloud computing, database management, data engineering, ERP integration, or a related field is required.

- Proficiency in cloud-based database solutions (e.g., AWS, Azure, Google Cloud) and ERP systems (e.g., SAP, Oracle ERP, Microsoft Dynamics) with a focus on data extraction, processing, and KPI integration is essential.

- Familiarity with AI-driven predictive modeling using machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and experience in dynamic dashboard creation (e.g., Power BI, Tableau) for data visualization and maturity model representation will be advantageous.

- Knowledge of collaborative tools (e.g., Jira, Trello) and experience in custom application development for integrating ERP and cloud platforms are also desirable.

KEY QUALIFICATIONS:

- Minimum of Bachelor’s degree in Computer Science, Data Engineering, or related field.

- Proficiency with cloud databases and data warehouse solutions (AWS, Azure, Google Cloud).

- Strong understanding of SQL, NoSQL, and ETL processes.

- Proven experience with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics) and knowledge of data structures relevant to material management.

- Proficiency in data visualization platforms (Power BI, Tableau) and experience designing maturity models.

- Programming skills in Python, JavaScript, REST webservices, Angular/React, or similar languages.

- Excellent communication skills and a collaborative mindset.

WHAT WE OFFER

We offer an opportunity to be part of a mission-driven project dedicated to advancing sustainability through data, where your work will have a tangible impact on the future of shipyard material management and building a material management maturity model.

You’ll be immersed in an innovative environment that encourages creativity, collaboration, and the application of forward-thinking solutions to complex challenges. With access to state-of-the-art technology and analytics platforms, you’ll have the tools needed to make meaningful contributions.

We also prioritize professional growth, providing continuous learning opportunities, mentorship, and clear pathways for career advancement in data science, AI, and cloud computing.

OTHER TERMS

Applications may be processed already during the application period.

The research project is funded by Business Finland. The position is fixed-term, with a probationary period of six months.

In this position, work must be carried out in Finland.

Your salary is based on the actual demand level of your work in line with the career path and salary system of Turku University of Applied Sciences as well as the applicable collective agreement (AVAINTES).

We value diversity in our work community. Therefore, we hope to receive applications from applicants with diverse backgrounds, such as applicants of various ages and genders, applicants with varying language and cultural backgrounds, and applicants representing different minority groups.

Turku University of Applied Sciences, The faculty of Engineering and Business, Kupittaa campus, Turku

http://www.tuas.fi