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Senior Engineer, Data Engineering - London, United Kingdom - Hiscox
Description
Reporting to the Lead Data Engineer – Re & ILSLondon with Hybrid working
Hiscox is seeking a strong and dynamic Data Engineer with Data Science experience to join our Re & ILS Technology Team.
This is an exciting opportunity to be a part of a transformation program, working with data architects and contributing to the cloud-based data analytics platform, in support of our new data strategy.
You will be working with stakeholders, translating their business requirements into sustainable technical solutions and helping them understand how technology can enable business objectives.
You will help architect and build new data solutions and initial PoCs using SaaS and PaaS-based services on Azure.While Microsoft PaaS data services are often our starting point, knowledge and experience of non-Microsoft PaaS services is welcomed and encouraged, including hosted services on other Cloud providers.
Strong knowledge of our core languages for data engineering – Python , SQL and Terraform .A good understanding of CI/CD and experience with one of the CI/CD tools – Azure DevOps, GitLab or Jenkins.
Strong knowledge of machine learning algorithms, statistical techniques, and data analysis.Working knowledge of Data Science Platforms like Dataiku.
A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
A good understanding of traditional data warehousing and modern warehousing techniques and services.Working with business stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems.
Helping to design, build and support a new cloud-based analytics platform for the business.Being a core and professional member of the new Data Engineering Team
Understand business requirements and help refine into development tasks and estimate their complexity.
Focus on both speed of delivery and quality, with suitable pragmatism – ensuring your solutions are always appropriate and not too complex or over-engineered.
Quick progression of projects from proof-of-concept to post-production stageParticipating in code reviews for the Data Engineering Team
We are building a new cloud data platform to realise value from our data.
That platform is based on Snowflake , Azure Data Factory for ELT and Prefect for orchestration all running on Microsoft Azure .
Most platform code will be written in SQL or Python.We prepare data for use by analysts working with a variety of tools – Tableau , PowerBI , Dataiku , Python, R and even Excel.
We take a DevOps approach and strive for continuous integration / continuous deployment. Diversity and Hybrid workingWe hire the best people for the job and we're committed to diversity and creating a truly inclusive culture, which we believe drives success.
We have also learned over the past few years that working life doesn't always have to be in the office, and now it is safe to do so we have introduced hybrid working to encourage a healthy work life balance.
This hybrid working model is set by the team rather than the business to enable you to manage your own personal work-life balance.
LI-Hybrid