Data Engineer | ETL | Python | ML | Insuretech | £80,000 | Barnet WeDo has recently partnered with a leading Insurtech company who are currently in the market for a Data Engineer to join the business. They are looking for someone who has worked very much in a Data Engineering capacity however, they need to have showcased prior experience of working with Data Science teams on ML Pipelines and Data Platforms and have a good understanding of modelling/ practices. This extends to productionising and having a good grasp on some of the CI/CD tooling. This position will be sat within the Data Science function within the business. The Data Engineer will have the following experience and skillset. Proficient in Microsoft Azure, Python/PySpark, and SQL. Experienced in using ETL/ELT tools like SSIS and Azure Data Factory, and knowledgeable about Big Data platforms like Azure Synapse Analytics and Databricks. Strong understanding of data warehousing, data lakes, and different data processing methods. Skilled in working with CI/CD pipelines and familiar with best practices using Terraform. ML pipeline experience is required but happy to consider candidates with either AzureML, Vertex AI or Sagemaker. Your character You are meticulous with your attention to detail - going right into the granular Have great interpersonal skills and work well with team members and key stakeholders This position is a hybrid position, where you will be expected to be in the office 1 day per week in North London. The role is paying £80k for the right candidate. If this role is of any interest, please apply for the position and I will be in touch. Data Engineer | ETL | Python | ML | Insuretech | £80,000 | Barnet