.The Senior Data Engineer will be a key member of the Data Office team, focused on optimizing the data pipeline of the company-wide Single Version of Truth (SVoT) along with delivering front-end analytical solutions leveraging the SVoT. As a data expert, the ideal candidate will have strong data analytical skills, a track record of utilizing data as an enabler with a clear passion for engineering, development data ops, and extracting value from data.In this role, you will be responsible for more than development—you will engage in sophisticated data analysis, defining and refining data models, and optimizing data flows to support our Analytical Products. Leveraging your insights and creativity, you will play a key role in architecting data transformations that align with business objectives, providing data that meets the nuanced and evolving needs of stakeholders. Your leadership and expertise will be instrumental in mentoring team members, shaping best practices, and driving innovation across the Data Office team.Within CorSo, we support multiple Lines of Business (LOB). This role will predominantly focus on the Data and Analytics needs of our North America Accident and Health LOB.ResponsibilitiesCollaborate with your users and stakeholders, understanding their data needs, finding innovative ways to leverage data in their daily processes and inform data-led decisions.Deliver and maintain optimal data pipeline architecture to assemble large, complex data sets that meet functional/non-functional business requirements.Perform complex end-to-end data analysis to define the target solution design for Analytical Products and our Single Version of Truth (SVoT).Collaborate with other members of the Data Office, including data architects, data analysts, data engineers, analytics engineers, and data scientists.Engage in business analysis and data modelling to ensure data quality assurance on a major global program in the Commercial Insurance sector in a fast-moving Agile environment.About YouWe are looking for someone with a solid foundation in data engineering and analytics, coupled with a passion for data-driven solutions. As an experienced professional, you are excited to share your technical expertise and best practices with the team, fostering innovation and enhancing processes.Technical Skills- A university degree in computer science, data science, statistics, physics, or a related field, with a strong foundation in data engineering and analytics.- Advanced data analysis abilities with proven experience in:Relational databases, query authoring (SQL), and working familiarity with a variety of databases.NoSQL databases, including Postgres and Cassandra.Python/PySpark.Java (Beneficial).Experience building and optimizing data pipelines in a Spark 'big data' environment.Experience working in Big Data architecture; Hadoop, HDFS, Kafka, etc.Experience with Palantir Foundry (Beneficial).Experience in data modelling and various methodologies (3nF, etc.)