Senior Data Analytics Engineer
Job Category: Data & Analytics
Requisition Number: SENIO001409
Schedule: Full TimeNetherlands
Amsterdam, NL 11111, NLD
At Rainforest Alliance, we use data to make informed decisions. Through our Data Analytics Platform (DAP), we provide access to crucial data. This role focuses on ETL data pipeline development, with an emphasis on data analysis, refinement of requirements, data modelling, and coaching of lesser experienced engineers. We currently use Data Virtuality but are also reviewing if other options need to be considered
Data Detective
Job Category: Data & Analytics
Requisition Number: DATAE001416
Schedule: Full TimeKenya
Nairobi, KE 11111, KEN
Are you the data detective in our data engineering team? Do you want to be the person-to-go for understanding the data structures of our systems, the second-line support for data analysis? Are you not afraid of data challenges? Do you have eye for detail?
Data Analytics Engineer
Job Category: Data & Analytics
Requisition Number: DATAA001417
Schedule: Full TimeKenya
Nairobi, KE 11111, KEN
At the Rainforest Alliance, we use data to make informed decisions. Through our Data Analytics Platform (DAP), we provide access to crucial data. The data engineering team is a team with a main focus on development of data pipelines, and technical components of the DAP. This role focuses on ETL data pipeline development. But as a successful data team we also need data and business analysis skills.
Data Platform Engineer
Job Category: Data & Analytics
Requisition Number: DATAP001410
Schedule: Full TimeKenya
Nairobi, KE 11111, KEN
At the Rainforest Alliance, we use data to make informed decisions. Through our Data Analytics Platform (DAP), we provide access to crucial data. You will maintain, extend and scale the platform, while keeping it recoverable, secure, available and performant. Automation will be an important part of the job as well as uncovering ways to improve the platform. You will work close together with the data engineers in the data excellence team as well as the platform ops team. Another aspect is to adapt it as needed for new products (open data, ingestion of external sources, unstructured data, etc.).