Data Engineer

You will have strong skills in designing, building, and testing data management solutions within big data cloud infrastructure.
You have a real passion for truly democratizing data for the business and our customers..
You thrive working in an agile, collaborative environment providing knowledge and guidance on best practices and techniques for data engineering as well as gaining a deep understanding of the business.
Roles And Responsibilities Include.
Collaborate with your customers, understanding their data needs, finding innovative ways to bring data into their daily process.
Implement, verify, design, and maintain data management solutions.
Build a data architecture for ingestion, processing, and surfacing of data for large-scale applications.
Research and discover new methods to acquire data, and new applications for existing data.
Create full transparency of data for customers to know what is available and how to use it.
Driving the adoption of data engineering standards.
Create an agile working environment, focusing on the delivery high quality products and providing the ongoing support to meet the customers' needs.
Embedding monitoring of performance and quality of our end-to-end data landscape from source to user.
About The Team.
Our ambition is to become a data driven commercial insurer, finding innovative ways of using data to provide risk transfer solutions for our clients making them and the world more resilient.
This is an opportunity to join a fast-paced working environment that leverages the latest technologies and data to provide unique and compelling analytics solutions in a competitive marketplace.
About You.
Are you eager to disrupt the insurance industry with us and make an impactDo you wish to have your talent recognized and rewardedThen join our growing team and become part of the next wave of data innovation..
Your Experience .
7 8 years as a data engineer.
Strategic mindset, able to connect with the big picture and focus on tangible outcomes.
Experienced programmer in Python and R.
Knowledge of working in a Spark environment.
Knowledge of analytical architecture, DWH, Data Marts, analysis tools such as Power BI, Tableau, QlikView.
A desire and openness to learning and continuous improvement, both of yourself and your team members.