Job description

As a Data Engineer in the DAnA (Data Analytics and Automation) department, you will integrate, centralize and serve data to all Partenamut departments:

You work closely with Data Translators and Data Scientists to answer Business needs by developing data pipelines and ETLs.
You work on implementing complex and large scale Big Data projects as well as building and maintaining custom and/or template based data pipelines.
You create and manage conceptual, logical, and physical data models using internal practices for generation, creation and naming standards.
You manage and optimize core data infrastructure.
You support data team resources with design and performance optimization.
You document data models and code.

Profile

You have a Master in Computer Science, Engineering or any related field or equivalent by experience.
You have 3+ years hands on experience in the area of Enterprise Intelligence (e.g. Data Warehousing, Data Management, Data Manipulation, Business Intelligence, Analytics, Big Data ecosystem).
Python coding skills are mandatory.
You must have experience with SQL-like data manipulation. As well as experience with big data and NoSQL technologies.
Having an experience with cloud technologies such as AWS Redshift, StepFunctions, RDS, AWS Batch, AWS Lambda, EC2… is an strong asset.
Having hands-on experience with Data Vault modeling is a strong asset, with the ability to understand business requirements and translate those into proper data base modeling.
You are familiar with traditional ETL solutions.
You are fluent in French and/or English (verbal & written).

Why apply?

A full-time open-ended contract with flexible working hours and the possibility of remote working up to 3 days a week.
An exciting position with real prospects in a fast-growing company.
In-depth training in the mutual insurance sector on arrival and regular training throughout your career.
An attractive salary with numerous non-statutory benefits that can be adapted to suit your needs.
Up to 46 days of leave per year.