At a Glance
- Tasks: Join us as a Data Engineer to tackle data challenges and innovate solutions.
- Company: Prima is revolutionizing the insurance sector with cutting-edge technology and a focus on customer experience.
- Benefits: Enjoy flexible work options, private medical insurance, and wellness initiatives to support your well-being.
- Why this job: Be part of a dynamic team that values your voice and fosters personal growth in a fast-paced environment.
- Qualifications: Expertise in data processing, Python programming, and cloud solutions like AWS is essential.
- Other info: Work remotely for 30 days a year and access a learning marketplace for continuous development.
The predicted salary is between 36000 - 60000 £ per year.
Is it a thrilling opportunity in a dynamic environment which is constantly evolving what you are currently looking for?
Are you curious to see how a company that operates in the Insurance sector provides a great experience at a great price to its customers using cutting-edge technologies to create and sell its products? Then, we are happy to inform you that you have just got a ticket to the fast lane!
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:
- 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! #J-18808-Ljbffr
Data Engineer (Pricing & Underwriting)- UK employer: Prima Group
Contact Detail:
Prima Group 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 online, especially around topics like Data Lake implementation and cloud solutions. Participating in forums or contributing to open-source projects can help you build a network and demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss real-world business opportunities where you've applied your data engineering skills. Think of examples where you bridged the gap between data science and engineering, as this aligns closely with what Prima is looking for.
✨Tip Number 4
Show your enthusiasm for continuous learning and development. Highlight any courses or certifications related to data governance, MLOps, or feature engineering that you've completed, as this reflects the growth mindset that Prima values.
We think you need these skills to ace Data Engineer (Pricing & Underwriting)- UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description like Kafka, Spark, and AWS. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their mission to provide great value car insurance and how you can contribute to their innovative projects.
Showcase Your Technical Skills: Be specific about your technical skills in Python, SQL, and cloud-based solutions. If you have experience with tools like Apache Airflow or MLOps, make sure to include that as well.
Highlight Soft Skills: Since Prima values collaboration and personal growth, emphasize your ability to work in teams, communicate effectively, and your willingness to learn and adapt in a fast-paced environment.
How to prepare for a job interview at Prima Group
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering and how it drives business decisions. Share examples of projects where you've successfully implemented data solutions, especially in batch processing or real-time streaming.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with technologies like Kafka, Flink, and Spark. Highlight any hands-on experience you have with Databricks and cloud-based solutions, particularly AWS, as this is crucial for the role.
✨Discuss Collaboration with Data Scientists
Since you'll be working closely with data scientists and machine learning engineers, share experiences where you've collaborated on projects. Emphasize your ability to bridge the gap between engineering and data science.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Prepare to discuss how you've tackled data architecture, feature engineering, or data governance issues in the past, showcasing your problem-solving skills.