Python Engineer Data Domains

Python Engineer Data Domains

Full-Time 70000 - 90000 £ / year (est.) Working from home possible
Lambda World

At a Glance

  • Tasks: Shape data products and build reliable systems for smarter decisions in motor insurance.
  • Company: Join Prima, the leading online motor insurance provider trusted by over 5 million drivers.
  • Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
  • Other info: Collaborative environment with opportunities for mentorship and career growth.
  • Why this job: Make a real impact on the future of motor insurance with cutting-edge technology.
  • Qualifications: Strong Python skills and experience in data engineering and distributed systems.

The predicted salary is between 70000 - 90000 £ per year.

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 behaviour insights
    • integration of new data sources
  • Data Transformation & Governance
    • Lead best practices in:
      • data modelling
      • performance optimization
      • governance
      • consistency
      • reliability
      • readily available
  • Platform & Tooling
    • Build reusable tooling and frameworks that enable teams to:
      • ingest datastore 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 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 programmes, and mental health support.

Python Engineer Data Domains employer: Lambda World

At Prima, we pride ourselves on being an innovative and empowering employer, dedicated to reshaping the motor insurance landscape. Our flexible work culture allows you to choose your environment, whether it's from home or in the office, while our commitment to employee growth ensures access to tailored learning resources and mentorship. With a focus on wellbeing, we offer private healthcare, gym discounts, and mental health support, making Prima a fantastic place for those looking to make a meaningful impact in the tech industry.

Lambda World

Contact Details:

Lambda World Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Python Engineer Data Domains

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lambda World.

Apply Directly through Our Website

When you find a suitable opening like Python Engineer Data Domains at Lambda World, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Python Engineer Data Domains

Python
Data Modelling
Distributed Data Processing
Batch Processing Systems
Near Real-Time Streaming Pipelines
Kafka
Flink

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Lambda World, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lambda World. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Lambda World

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lambda World!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.