We are seeking a highly skilled Data Engineer with a passion for industrial data and analytics. This role focuses on developing robust data pipelines and analytics solutions for time-series data generated from heating, refrigeration, and process equipment. You will play a key role in transforming raw industrial data into actionable insights, supporting digital product development and operational excellence.
Responsibilities / Tasks
Design, build, and maintain scalable
data pipelines (batch & streaming)
with a focus on
time-series data
from heating, refrigeration, and process equipment
Develop and operationalize
advanced analytics workflows
by integrating data from multiple industrial and enterprise sources
Work closely with
Data Analysts and Digital Product teams
to enable data-driven product features and insights
Contribute to and enhance the
GEA Cloud Analytics Platform
in collaboration with the Digital Hub
Ensure high data quality, reliability, and performance across pipelines and platforms
Apply modern
software engineering practices
(version control, CI/CD, code reviews)
Actively participate in the
Data Engineering / Data Science Guild
to drive knowledge sharing and standardization
Build reusable, modular, and efficient data solutions using state-of-the-art tools
Your Profile / Qualifications
Bachelor’s or Master’s degree in
Computer Science, Engineering, Mathematics
, or a related field
2–5 years of experience
in Data Engineering or related roles
Strong experience in building
robust and scalable data pipelines
Hands-on experience with
Spark / Databricks
or similar big data frameworks
Strong programming skills in
Python and SQL
Experience handling
time-series data, industrial IoT, or real-time analytics
(highly preferred)
Understanding of
data modeling, ETL/ELT processes, and data architecture
Familiarity with
Agile methodologies
and collaborative development
Strong communication skills with fluency in English
Did we spark your interest?
Then please click apply above to access our guided application process.
