Senior Data Engineer at Prima (online motor insurance) joining the pricing and underwriting domain to bridge ML/data science and engineering — building, publishing and maintaining data products and pipelines. Core stack: Python, SQL (Redshift/PostgreSQL), Kafka/Flink/Spark on AWS, with DevOps/CI-CD and IaC practices.
Fancy helping us shape the future of motor insurance?
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
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. And now we’re expanding to help millions more drivers in the UK and Spain.
To help fuel that growth, we need a Senior Data Engineer to join our Engineering team .
You’ll be joining over 350 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.
You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have a significant impact on the company’s growth.
Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, 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.
Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Data Lake / 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.
Hands-on experience in Data Quality and Data Governance techniques.
Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.
Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Need accommodations during the process? xwwtmva
Remote working/work at home options are available for this role.