This role supports Global Operations by designing, building, and maintaining reliable data pipelines and platforms to enable high-quality analytics and AI-ready data
Job Summary
This role supports Global Operations by designing, building, and maintaining reliable data pipelines and platforms to enable high-quality analytics and AI-ready data.
Key responsibilities include designing, building, and maintaining scalable data pipelines, developing high-quality code, and using SQL as a primary tool to query, transform, validate, and optimize data.
The company promotes a healthy work/life balance with flexible working hours, wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
Matching Summary
This role supports Global Operations by designing, building, and maintaining reliable data pipelines and platforms to enable high-quality analytics and AI-ready data.
Skills & Requirements
Must-have
SQL expertise
data modeling
data transformation workflows
Python or Java programming
cloud services experience
ETL/ELT processes
Nice-to-have
AI-assisted engineering practices
data visualization tools
collaboration with business partners
well-being initiatives
flexible working hours
Key Requirements
Professional experience in data engineering
Bachelor’s degree or equivalent practical experience