Portfolio Jobs

The Senior Analytics Engineer (AE) at Welcome to the Jungle plays a crucial role at building up our data assets and consolidating existing ones. It’s pivotal in the definition of setting up standards and guidelines for other data practitioners as well as applying the first levels of governance and participating at setting up the architecture direction.

This role is central in the data space of the company, allowing to work directly with the likes of Data Engineers (DE), Data Analyst (DA) or Data Scientists (DS). It also works closely to the different business functions.

Additionally, as a senior member of the team, they play a key role in developing more junior team members and implementing best practices.

The Analytics Engineer will work as part of the Data Platform team, regrouping both DE and AE specialists.

Our data stack

Overall, our stack is aligned with the standards of the modern data stack:

• Snowflake as our Data Warehouse

• dbt as our modeling tool

• Airflow to manage our workflows

• Rivery for our ingestions

• Omni and Metabase for the Dashboarding and reporting needs

• And some ad-hoc Python script

• Bring-in your experience as a seasoned data specialist

• Build-up our Data Warehouse by developing robust and efficient data pipelines and data models

• Make our data ready to use by our end-users by setting up proper models in our BI tools and AI assistants

• Interact with your data peers to advocate good practices among the practitioners

• Ensure our data is well documented and well govern

• Keep up to speed with the novelty of the sector

• Support the use of our data by third party products (CRM, website, AI assistant…)

4 days work week

Flexible work mode

• You have at least 5 years of experience working in data and at least one previous experience as an Analytics Engineer (or other data modeling role)

• You have a good understanding of the concepts of data warehouse modeling

• You have a deep proficiency in SQL, including architecting scalable transformations and frameworks to handle enterprise-scale datasets

• You have used dbt in a previous context

• You have an experience with cloud-based data warehouses (Snowflake experience would be nice)

• You have some experience using at least one BI tools such as Omni, Looker, Tableau, Power BI…

• Experience using Python is a nice addition but not a requirement

• Some experience working with AI in the context of a data team is a plus but not a hard requirement

• TA Interview

• Case + Job Skills Interview

• 2 set of values interview
  
  Best of luck !