The vente-privee group has consolidated its various European brands, together made up of 6000 employees, under one unified conglomerate: Veepee.
This coalescence marks a new chapter in its European history.
With Privalia, vente-exclusive, Designer & Friends, Zlotewyprzedaze, Eboutic and vente-privee, Veepee achieved a 3.7 billion Euro turnover as of 2018.
Present in 14 countries now, Veepee is taking a leading role in the European digital commerce landscape.
Our 6000 employees have chosen a job at Veepee to spice up their daily lives!
Our teams implement new technologies to fuel our strategies, offering our customers the best possible experience.
Are you eager to learn?
Veepee offers you a variety of trades to develop your career, enabling you to renew your skills constantly.
Tech, logistics, sales, marketing, sales production: join us on an exciting, digital-centered journey.
We are looking for a Data Analytics Engineer freelancer to join the Data Governance team at vpTech to help us improve the performance of our transformations, incorporate and model new data to meet business requirements, implement and improve our data quality checks and much more.
At Veepee, we've invested heavily over the past two years in setting up a modern data stack.
Today, we have the foundation set up, leveraging an in-house built, event-driven data ingestion platform, a cloud data warehouse built on top of Google BigQuery (using dbt and airflow for our data transformations) and Microstrategy as BI platform.
Furthermore, you'll work closely with our data platform engineers to identify and shape new features to add to our data platform and with our data science teams to help them find the right data to build Veepee's state-of-the-art machine learning models.
Responsibilities As an Analytics Engineer in Veepee, your role will be to: Help shape our BI strategy to ensure business' data needs are being met with high quality data that is simple to use and understand.
Translate business requirements and processes into well thought out data models and KPI's to make information accessible and meaningful for business users.
Develop and implement methods to always improve the quality of data in our data warehouse.
That includes auditing sources, documenting issues, driving resolutions together with other teams and implementing well-documented, performant and tested transformations.
Coordinate with Product teams to identify, define and ingest new and/or missing datasets using our new data ingestion platform.
Work closely with our data analysts and data scientists to identify and model data for use in advanced analysis and machine learning models.
Maintain and help implement new and existing data security measures.
Your Profile Strong understanding and empathy for business users and their data needs.
Advanced skills writing complex and performant SQL statements.
Minimum 3 years of experience using analytics databases (preferably cloud based like BigQuery, Snowflake,...).
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