Python Engineer Data Domains

Prima
London, UK
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Data Analysis Architectural Patterns Batch Processing Databases Information Engineering Data Governance Data Infrastructure Data Stores Data Systems Data Warehousing Relational Databases
+19 more
DevOps Distributed Computing Environment Distributed Data Store Python (Programming Language) Machine Learning Open Source Technology Performance Tuning Data Streaming Cloud Platform System Feature Engineering Cloudformation Infrastructure Automation Frameworks Apache Flink Production Code Star Schema Apache Kafka Machine Learning Operations Terraform Databricks

Job description

Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable readily available Platform & Tooling Build reusable tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community Help keep Prima at the cutting edge What we’re looking for Software & Data Engineering Strong expertise in Python Passion for writing: clean reliable production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing

Requirements

solutions Strong understanding of data modelling aligned with business needs Reliability & DevOps Experience with: CI/CD pipelines testing practices for data systems Familiarity with Infrastructure as Code tools such as: Terraform CloudFormation Thrive in collaborative environments Comfortable stepping beyond your scope when needed Strong sense of ownership and team spirit Nice-to-Have Data Governance & Quality Hands-on experience with: Data Quality Data Governance practices Familiarity with modelling approaches such as: Star Schema OBT Knowledge of modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue Athena Data Science & MLOps Exposure to: data analysis MLOps feature engineering Curiosity and willingness to go deeper in these areas Why you’ll love it here We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks. 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. #J-18808-Ljbffr

About the company

Fancy helping us shape the future of motor insurance? Prima could be the place for you. 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 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. Are you a Software Engineer excited about turning complex data into scalable, real-world impact? Someone who thrives on curiosity, embraces experimentation, and loves building reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data

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