Data Software Engineer

Since 2015, we've been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we've quickly become the number one online motor insurance provider. In fact, we're trusted by over 4 million drivers. And now we're expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Data Software Engineer to join our Claims team. This team is the beating heart of Prima. You'll be joining over 200 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you'll help deliver scalable, impactful solutions that shape the future of insurance. Excited to make an impact? Here are the details

What you'll do

• Shaping the architecture of data products designed for data analytics and data science, specifically focusing on use cases like forecasting, feature engineering, and integration of new data sources.
• Leading the way in data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable.
• Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.
• Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.
• Embrace continuous learning and experimentation to stay updated on emerging technologies, from testing open source tools to engaging in community-building activities like Meetups. Your passion for staying at the forefront of the field will drive your journey.
• Raise the bar of the data quality standards, performing continuous assessment of data quality with stakeholders

Do you have experience in Spark?, * Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Spark etc.

• Experience in Databricks is a plus.
• Experience in Big Data Analytics platform implementation with cloud based solution; AWS preferred.
• Proficient in Python programming and software engineering best practices.
• Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.
• Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.

At Prisma, we are building the data layer for modern applications. If you are fascinated by the leading-edge architecture and technology used in today’s data-intensive, highly scalable software systems, with distributed graph data on a massive scale, but you want the energy, challenges, and freedom that come with working in a small startup, then a job at Prisma might be for you.

With funding from top-tier investors Amplify Partners and Kleiner Perkins, we are a small, distributed team working on making the advanced data infrastructure developed by large tech companies accessible to all application developers around the world. Our hard work is paying off, with adoption and implementation of Prisma by some of the most successful and interesting companies out there today, and the fun is just beginning!