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HQP 105 - Data Software Expert ​/ Engineer (m​/f​/d

in 06731, Bitterfeld-Wolfen, Sachsen-Anhalt, Deutschland
Unternehmen: Q Cells
Vollzeit position
Verfasst am 2026-08-05
Berufliche Spezialisierung:
  • Software Entwicklung
    Dateningenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 70000 - 110000 EUR pro Jahr EUR 70000.00 110000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: HQP 105 - Data Software Expert / Engineer (m/f/d)

HQP 105 - Data Software Expert / Engineer (m/f/d)

Powering the Future of Solar Technology with Qcells

At Qcells, we don’t just envision a greener future—we actively create it. As a global leader in photovoltaic technology and a proud member of the Hanwha Group, a FORTUNE® Global 500 enterprise, we are dedicated to shaping the next generation of solar energy. Our Center for Innovation, Technology, and Quality in Thalheim (near Leipzig/Halle/Berlin) is home to over 200 experts who are driving advancements in solar cells and modules, “Engineered in Germany.”

We are currently on the lookout for a passionate and talented Data Engineer to join our R&D team and push the boundaries of solar cell technology
. If you’re excited about pioneering research and bringing groundbreaking solar solutions to market, we’d love to hear from you!

Your Role:
Driving Innovation in Data Engineering for Solar Cells

As a vital member of our dynamic and international R&D team, you will play a crucial role in advancing our data engineering for
high-efficiency perovskite-silicon tandem solar cell technology
. Your expertise will not only help strengthen our technology leadership but also help drive innovations toward commercial-scale applications.

Your

Key Responsibilities:

  • Drive Data Engineering Initiatives
    :
    Enhance our data infrastructure and build robust data pipelines for data acquired during the development of high-efficiency tandem solar cells at our state-of-the‑art R&D facility in Thalheim near Leipzig/Halle/Berlin.
  • Focus on Research and Development
    :
    Concentrate your efforts on creating modern and robust data pipelines to ingest, process, and structure tracking, tool log, and metrology data. Leverage existing resources and collaborate with our operations, process and characterization teams to integrate their workflows.
  • Evaluate and Design Data Structures
    :
    Assess and design data structures, implementing solutions across multiple R&D departments to enhance data accessibility and usability.
  • Lead Data Centralization Efforts
    :
    Oversee the merging and centralization of extensive data sources associated with individual solar cell IDs, including meta data, tabular data, process tool data and image data from the processing and testing during solar cell and module manufacturing.
  • Optimize Database Architectures
    :
    Guide the optimization of database architectures to ensure performance, scalability, and maintainability, while identifying best practices to transitioning from legacy tools.
  • Implement Data Querying and Visualization Interfaces
    :
    Develop essential data querying and visualization interfaces for our data scientists and process technologists, in close collaboration with the team.
  • Design Interactive Web-Based Frontends
    :
    Create user‑friendly, interactive web‑based frontends that integrate with SQL‑based databases.
  • Collaborate within an International Network
    :
    Work closely within our international, interdisciplinary R&D and manufacturing network to identify and guide development activities.
  • Produce High‑Quality Evaluations and Recommendations
    :
    Generate comprehensive analyses of current processes and clear reports of your findings and proposals, providing clear decision‑making templates for management.
  • Engage in Team Discussions
    :
    Actively participate in team discussions, contributing innovative ideas for new front‑ and back‑end solutions and development initiatives.

Your Profile:
Expertise Meets Passion

We are seeking a self‑driven and innovative scientist or engineer with a robust background in data or software engineering.

Your

Qualifications:

  • Education Background: A degree in computer science, engineering, physics or mathematics.
  • Extensive Knowledge in Software Engineering; proficient in the following areas:
    • SQL‑based databases, including their design, optimization, and maintenance.
    • Python‑based data processing (numpy, pandas) and SQL interaction (SQL Alchemy).
    • ETL process pipelines & pipeline orchestration.
    • Frontend development for user interaction with databases.
    • Familiarity with development in Windows environments and hands on experience with SQL Server highly valued.
    • Familiarity with modern MES, SCADA, or smart factory systems is advantageous.
  • Stron…
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