Our client is a client centric, tech focused, disruptive company that provides a speciality insurance for commercial lines. They are passionate about people, values of trust, curiosity and quality are embedded in everything what they do. 

Introduction:

As a Data Engineer, the candidate will directly report to Head of Platform and will work in the team responsible for designing and building large scale, real time and scalable batch data pipelines using the latest tools and technologies. The candidate will work alongside other teams to assist in building the data ingestion processes, data storage and expanding BI capabilities of the Platform to improve data visualization and produce actionable insights. The candidate will participate in all the processes and contribute to making technology and design decisions as well as taking ownership of the data pipelines. The candidate will follow the company-wide rules of engagement and standards. The candidate will actively work with team-members to share-knowledge and grow as a team. 

Responsibilities:
 
🔸 Design, build and maintain data storage solutions and data pipelines-
🔸 Design, build and maintain the deployment of Machine learning models
🔸 Develop and maintain the data ingestion pipelines (ETL)
🔸Develop and maintain Machine Learning powered BI solutions allowing data analytics and visualisation
🔸 Contribute to Data Architecture and data structure design decisions
🔸 Work closely with Engineering and Product teams to provide solutions supporting product needs
🔸 Collaborate with data scientists to establish end-to-end Machine learning Operations (MLOps) 

Skills & Experience Required:
 
🔸 Experience and working knowledge of database systems (SQL and NoSQL) Work experience with Python/Scala or R language
🔸 Experience with Machine Learning
🔸Experience in handling complex data structure from multiple sources and building scalable data pipelines
🔸 Experience in working with unstructured, semi-structured and structured datasets (large and small data sets)
🔸 Ability to create powerful stories and visualisations with data Experience in working with cloud base solutions
(preferably Azure)
🔸 Use of best practices in continuous integration and delivery Willing to learn new technologies
🔸 Ability to work with teams in a constructive, collaborative manner 

Desirable:
🔸 Knowledge of Azure ecosystem
🔸 Experience in working with cloud base solutions (preferably Azure-ML) 

A trip to London once every 3 months to meet with the team is welcome.

What we offer:
🔸 Stable employment – perm or B2B contract – completely up to you
🔸 Work in a non-corporate environment where you can have an impact on the way your business operates
🔸 Flexible working hours, hybrid work model
🔸 Private healthcare, sports card, training budget