Data Engineer (12 month contract)

Data Engineer (12 month contract) About the Role We are seeking a highly skilled and motivated Data Engineer to join Strategic Analytics, a global team, though the role will be based in Singapore. The successful candidate will play a crucial role in advancing the development, automation, and deployment of ETL pipelines and dashboard development. This position offers an exciting opportunity to work within the Singapore team while reporting to the Strategic Analytics AVP based in London, who leads on Data Engineering within Strategic Analytics. This role is part of a broader initiative to automate and streamline the use of one of PL Re’s key proprietary big datasets. Key Responsibilities: Data Checking, Processing and Automation : Ensure accuracy and consistency in data, and develop and deploy ETL pipelines that bring together multiple data sources. Data Pipeline and Product Management : Manage and maintain live data pipelines and dashboards. Dashboard Development : Collaborate with cross-functional teams to design, develop, and productionise data dashboards. Ad-hoc Data Queries : Support business teams with ad-hoc data queries. Analytics Projects : Contribute to analysis projects using data engineering skills and in-depth knowledge of team data. Required Skills and Experience: Technical Proficiency: Strong experience with Python, SQL and Tableau; Experience working with AWS is a plus. Proven ability to build, deploy, and manage data extraction, transformation and load (ETL) pipelines. Ideally, experience working in the insurance/reinsurance industry. Tech Stack: Python SQL (ideally Redshift and Microsoft SQL Server) Tableau R (desirable) Git Professional Skills: Problem-Solving : Excellent analytical and problem-solving skills. Proactivity : Demonstrate a proactive approach by anticipating potential issues and taking initiative to address them before they become problems. Solutions-oriented : Focus on finding effective solutions to challenges, ensuring that obstacles are overcome efficiently and effectively. Communication : Strong communication skills to effectively collaborate with team members and stakeholders. Adaptability : Ability to work in a fast-paced environment and adapt to changing priorities. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field and/or 3-5 years of experience in data engineering or a similar role. Benefits Group Life Insurance and Medical Flexible Benefits Buy & Sell Leave Employee Assistance Program (EAP) Telco Staff Discount As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible. #J-18808-Ljbffr