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