At a Glance
- Tasks: Join us as a Data Engineer to shape data architecture and drive innovative solutions.
- Company: Prima is revolutionizing car insurance with a focus on value and community.
- Benefits: Enjoy flexible work options, private medical insurance, and wellness initiatives.
- Why this job: Be part of a dynamic team that values your voice and fosters growth.
- Qualifications: Expertise in data processing, Python, and cloud solutions required.
- Other info: Work from anywhere for 30 days a year and engage in continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
NameProviderPurposeMaximum Storage DurationType\\_\\_cflbapi2.hcaptcha.comRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience. 1 dayHTTP CookieNameProviderPurposeMaximum Storage DurationTypelidcRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience. 1 dayHTTP CookieNameProviderPurposeMaximum Storage DurationTypeNameProviderPurposeMaximum Storage DurationType London – United Kingdom **Data Engineer (Pricing & Underwriting)- UK****Overview****Job description**IT technology lies at the very core of everything we do and our Engineering and Product departments are composed of passionate and innovative people who never stop learning and developing their skills employing the latest stacks and methodologies. At Prima, you could take on a whole new challenge. As part of our global community, you’d be in the driving seat of your career; learning and growing with a top-tier team around you. Prima is a place where no matter who you are or what your role is — your voice is valued. Back in 2015, we embarked on a mission: to provide great value car insurance that is designed for everyone. And we’ve come a long way, we’ve created a culture where we can fuel each other’s success. But we need your expertise, as we steer things in a new and exciting direction. You’re probably thinking… ‘That sounds pretty good’. We agree. As well as great colleagues and engaging projects, there are loads of ways we can help you do the best work of your life. We’ve shaped our offering to place a focus on wellbeing, autonomy and development. We see benefits as the fuel that will empower you to succeed, if you decide to embark on this journey with us. ** Working in a way that works for you** We believe in work-life balance and flexibility. Whether you like working from the office, home or a mixture of both. We’ll help you find a balance that works best for you. We even have a policy that means you can work from any location for 30 days a year. We trust you to steer us forward. ** The freedom to explore the possibilities** We may move fast at Prima, but we move together. We’re invested in your growth; so we’ll give you access to a teaching and learning marketplace. And you’ll have regular sessions with your manager to establish a personal growth plan. ** Our winning formula: happy and high-performing** From private medical insurance to discounted gym memberships and wellbeing initiatives: we’re here to support you. We know how important your health and well-being is, so we’ll go the extra mile to help you when we can. You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. With a focus on data challenges, you’ll be joining forces with data scientists and machine learning engineers to craft technical solutions tailored to real-world business opportunities, drive transformative solutions, and play a pivotal role in shaping the future with us. You will have the opportunity to work in areas like Data Architecture, Feature Engineering, Optimisation and Data Governance applying your Data Engineering industry expertise and proficiencies to tailor them to Prima\’s specific scenarios and innovating when faced with gaps in existing knowledge. As a Data Engineer, you will be in charge of: – 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.**Nice to have:** – Hands-on experience in Data Quality and Data Governance techniques.- Knowledge on MLOps and Feature engineering.- Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM.- Exposure to tools like Apache Oozie, Apache Airflow.Prima is a community made up of talented and ambitious individuals. We offer equal employment of any kind based on race, colour, gender, religion, sexual orientation, nationality, disability, genetic information, pregnancy or other protected personal characteristics, as defined by national laws. If it sounds like we’d be a good fit for each other, join us in the fast lane! LocationLondon -United KingdomDepartmentEngineeringJob functionEngineeringEmploymentpermanent employment
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Data Engineer (Pricing & Underwriting)- UK employer: Prima Assicurazioni
Contact Detail:
Prima Assicurazioni Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Pricing & Underwriting)- UK
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Kafka, Flink, and Spark. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community by attending meetups or online forums. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals for the position.
✨Tip Number 3
Demonstrate your understanding of data governance and quality techniques. Prepare examples of how you've implemented best practices in previous roles, as this is a key aspect of the job at Prima.
✨Tip Number 4
Show your passion for continuous learning by mentioning any recent courses or certifications related to data engineering or machine learning. This aligns with Prima's focus on growth and innovation.
We think you need these skills to ace Data Engineer (Pricing & Underwriting)- UK
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Prima. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with batch and distributed data processing, as well as any familiarity with technologies like Kafka, Flink, or Spark. Be specific about projects you've worked on that demonstrate your expertise in these areas.
Showcase Your Technical Skills: Make sure to detail your proficiency in Python programming, data modeling, and cloud-based solutions, particularly AWS. Include any relevant certifications or courses that showcase your commitment to continuous learning in data engineering.
Personalize Your Application: Address your application to the hiring manager if possible, and express your enthusiasm for joining Prima's innovative team. Mention how you can contribute to their mission of providing great value car insurance and your excitement about the opportunity to work in a flexible environment.
How to prepare for a job interview at Prima Assicurazioni
✨Showcase Your Technical Skills
Be prepared to discuss your experience with batch and distributed data processing, as well as near real-time streaming data pipelines. Highlight your proficiency in technologies like Kafka, Flink, and Spark, and be ready to provide examples of how you've implemented these in past projects.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your ability to tackle data challenges. Prepare to discuss specific scenarios where you identified gaps in existing knowledge and how you innovated to create effective solutions, especially in areas like Data Architecture and Feature Engineering.
✨Emphasize Collaboration
Since the role involves working closely with data scientists and machine learning engineers, be ready to talk about your experience in cross-functional teams. Share examples of how you've engaged with others to refine data requirements and enhance data infrastructure.
✨Express Your Passion for Continuous Learning
Highlight your commitment to staying updated on emerging technologies and best practices in data engineering. Discuss any recent tools or methodologies you've explored, and mention your involvement in community-building activities like Meetups to show your enthusiasm for the field.