We are looking for a Data Engineer for an international company in the insurance sector, offering a dynamic and innovative work environment. With flexible smart working options, they provide to their employees the opportunity to balance work and personal life.
Data Engineer
Key Responsibilities
Interact with the product and development team to improve current innovation projects and launch new ones using our Data Architecture methodology and culture.
Design, build and maintain data pipeline. Track and monitor platforms’ behavior, and utilize configuration management tools to automate, build and deploy processes. You will also design, manage and maintain tools to automate operational processes and implement systems that are highly available and scalable
Create a culture data-centric to maximize data gathering, transformation and normalization to make data available to make business decisions and embrace new culture of data across all companies
Be part of a well-structured Agile team with a dynamic, collaborative, and agile mindset where you will have the opportunity to learn, grow and improve the way we work.
Required Skills
Hands-on data ingestion tool (dbt, sqitch)
Hands-on data platform like data warehouse and data lake tools (for example snowflake, amazon redshift, bigquery)
well-known pipeline ETL / ELT create, maintain and migrate between tech stack. (logstash, dbt, sqitch, aws data pipeline)
Well-known python scripting for data manipulation
Hands-on on create query for retrieval, manipulation and build data to support analytics tool or analyst team as well as data scientist teams
We offer:
Smart working policy
Competitive Salary