Data Engineer Advisor

Data Engineer - Azure Databricks • Advanced SQL programming for more than 4 years • Data analysis skills for more than 2 years • Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps). • Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. • Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred. • Industry certifications in Azure, Databricks or data architecture is advantageous. • Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps). • Experience in migrating data and associated systems from on prem to Cloud environments. • Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus. • Excellent verbal and written communication • Lloyds/Company Market (re)insurance experience with a good knowledge of London market or specialty insurance data domains and terminology is advantagous. • Knowledge of data warehousing and ETL/ELT pipelines. • Strong technical proficiency in SQL, Python, and data integration tools. • Hands-on experience with ETL tools and data orchestration (e.g., Azure Data Factory, Databricks). • Knowledge of data modelling, warehouse design, and architecture principles. • Experience with cloud platforms (especially Azure) for building and operating data solutions. • Understanding of Agile methodologies and tools (e.g., Jira, Azure DevOps). • Good communication skills to work with technical and business partners