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