Over deze vacature
At , we’re expanding our global Data & Analytics capabilities for one of the world’s leading international retail and omnichannel organizations.
We’re looking for a who enjoys building modern cloud data platforms, optimizing large-scale data ingestion, and designing reliable, scalable data pipelines.
If you’re passionate about Snowflake, DBT, Python, and solving complex data engineering challenges, we’d love to hear from you.
Design, build, and optimize scalable ELT/ETL pipelines
Improve data ingestion from
Modernize legacy SnowSQL pipelines using
Improve data quality, validation, observability, and reliability
Build cloud-native data processing solutions
Collaborate with architects and data integration specialists on enterprise-scale solutions
Help evolve a modern data platform supporting analytics across multiple business domains
SAP HANA (as a data source)
Experience building scalable ELT/ETL pipelines
Experience working with cloud-native data platforms
Experience integrating data from enterprise source systems such as
Experience with enterprise ERP data models
Knowledge of SAP HANA data structures or extraction concepts
Experience within retail or omnichannel environments
Passionate about building scalable, maintainable systems
Curious and always looking for better solutions
You’ll Collaborate With Teams Across
Private healthcare for you and your family
Long-term projects with global clients
Learning budget, certifications, and continuous professional development
Opportunity to work on a modern enterprise-scale data platform used by millions of customers
- Technical interview focused on data engineering, architecture, and problem solving
If you’re excited about building modern data platforms and working with a highly experienced international engineering team, we’d love to meet you.