Data Engineer

Wrisk is reinventing insurance for today's digital consumer and helping an outdated industry become relevant again. Our mobile-first, frictionless platform lets people interact with their insurance provider with ease, speed, and transparency. We're seeking a skilled Data Engineer to join our dynamic team of analytics professionals. In this role, you'll work closely with our Senior Data Engineer to expand and optimise our AWS-based data architecture, focusing on enhancing data pipelines and ensuring seamless data flow across cross-functional teams.

Key Responsibilities:

• Develop and maintain efficient, scalable data pipeline architectures within AWS
• Build and manage large, complex data sets
• Identify and implement process enhancements, including automation and optimization
• Develop infrastructure for optimal ETL processes using AWS 'big data' technologies
• Build tools to deliver actionable insights into key business metrics
• Collaborate with data scientists and analytics experts to create and optimise tools
• Work closely with the Senior Data Engineer to enhance system functionality and efficiency

Requirements:

• Minimum 4 years of experience as a Data Engineer or similar role
• Advanced knowledge of SQL and relational databases
• Proven experience with big data pipelines and architectures, particularly in AWS
• Strong analytical capabilities for working with unstructured datasets
• Expertise in data transformation, structures, and metadata management
• Experience with message queuing, stream processing, and scalable big data stores
• Proficiency in AWS cloud services (EC2, EMR, RDS, Redshift)
• Experience with relational SQL and NoSQL databases (e.g., Postgres, DynamoDB)
• Skilled in data pipeline tools like Airflow, Azkaban, and Luigi
• Strong expertise in programming languages like Python and TypeScript

Join Wrisk to be part of an innovative team changing how insurance is bought, sold, and managed, working with big brand partners to bring our unique customer experience to market.