Data Engineer

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🕒 April 1

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Prima

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

💸 Finance

👥 B2C

💰 $115.8M Series A on 2018-11

Finance • B2C

Prima is a digitally-native insurance company that redesigns and digitizes the insurance value chain to deliver fast, customer-friendly policies and claims online. Founded in 2015, Prima has grown to serve over 5 million customers across Europe and reported €1. 8 billion in gross written premiums in 2025, operating in Italy, Spain and the UK through partnerships with established carriers and brokers. The company builds its own tech platforms and data stack to power pricing, distribution, agent/broker management, and claims handling, and joined the AXA Group in November 2025 to support further growth.

📋 Description

• 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.

🎯 Requirements

• Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus. • 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. (Nice-to-Have) • Knowledge on MLOps and Feature engineering. (Nice-to-Have) • Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. (Nice-to-Have) • Exposure to tools like Apache Oozie, Apache Airflow. (Nice-to-Have)

🏖️ Benefits

• Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year. • Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you. • Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.