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Lead Data Engineer

Policy Expert – Lead Data Engineer 

🚀 We’re on a mission to make: The most successful insurance disruptor people want to stay with for life 

Are you ready to transform the insurance industry with innovative technology? At Policy Expert, we are on a mission to revolutionize Home, Pet, and Motor insurance, making it clear, fair, and great value for customers. Since our inception in 2011, our breakthrough thinking and proprietary tech, have won us over 1.5 million customers and the title of the UK’s No.1-rated home insurance provider for 9 years. 🏆   

Hear from our team about what it's like working at Policy Expert 

Your day to day: 

As the Lead Data Engineer, your mission is to drive the technical development and evolution of a scalable, modern data platform that empowers distributed data product teams to improve the quality of our data through clear ownership of domain aligned data products. 

  • Data Platform Excellence: Lead the development and operation of a reliable data platform in production environments, enabling self-service capabilities for de-centralised data product teams, ensuring the right level of scalability, reliability, and trust in their data products. 
  • Tech Leadership and Mentorship: Working alongside the Engineering Manager - provide technical leadership to Senior Data Engineers within the team, fostering a culture of collaboration, feedback, knowledge sharing, and continuous improvement, ensuring technical excellence across the team. 
  • Pricing Optimisation: Work closely with data engineers, pricing analysts, data scientists and ML engineers to ensure the data platform provides the right capabilities to maintain our competitive advantage by innovating and building out a more advanced pricing optimisation market model to support our growth targets over the next 3-5 years. 

Who are you: 

  • Proven experience leading Senior Data Engineers, setting technical standards, and promoting a culture of collaboration and continuous improvement.
  • Expertise in designing and developing scalable data platforms, with experience in batch/streaming data processing (AWS Glue, Apache Spark, Flink) and data storage solutions (Amazon Redshift, S3, DynamoDB). 
  • Strong understanding of event-driven architectures (SNS/SQS, Kinesis) and experience with orchestration tools like GitHub Actions and CloudFormation 
  • Conceptual understanding of Data Products as governed, discoverable assets, and how to build them to support business insights and decision-making. 
  • Proficiency in Python and SQL for querying large datasets and writing optimised, efficient code. 
  • Ability to translate technical concepts into business-friendly language, effectively communicating with both technical and non-technical stakeholders. 

Not essential but desirable 

  • Experience deploying ML models in production environments, particularly with AWS SageMaker or similar tools. 
  • Familiarity with data challenges in the insurance industry, though not essential  

Benefits: 

📍 This role will be based in our London office in a 50/50 Hybrid mode. 

💸 Generous Pension contribution scheme 

🏥 Private medical & Dental cover 

📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it) 

😁 Enhanced maternity & paternity  

🚉 Travel season ticket loan 

🎟️ Access to a wide selection of London O2 events and use of a Private Lounge 

🌈 Employee Wellbeing Programme 

 

What We Stand for and Next Steps “We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment”  

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support. 

We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements. 

Useful links:  

Glassdoor | Trust Pilot | Best Companies 

 

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What You Should Know About Lead Data Engineer, Policy Expert

At Policy Expert, we're on the hunt for a passionate Lead Data Engineer to join our dynamic team in London! If you're eager to make a significant impact in the insurance industry using innovative technology, this is your chance. With over 1.5 million customers and counting, we pride ourselves on being the UK's No.1-rated home insurance provider for an impressive 9 years. As our Lead Data Engineer, you'll spearhead the development of a cutting-edge data platform, empowering our distributed teams to elevate the quality of their data products. Your journey with us will involve collaborating closely with pricing analysts, data scientists, and machine learning engineers to further refine our pricing optimization model. You'll also play a vital role in guiding our talented team of Senior Data Engineers, fostering a culture of continuous improvement and knowledge sharing. With your expertise in building scalable platforms using technologies like AWS Glue, Apache Spark, and Redshift, you’ll ensure our data remains reliable and trustworthy. We value your ability to communicate technical concepts in a business-friendly way, bridging the gap between tech and non-tech stakeholders alike. Join us at Policy Expert, and let's transform how people perceive home, pet, and motor insurance together!

Frequently Asked Questions (FAQs) for Lead Data Engineer Role at Policy Expert
What responsibilities will a Lead Data Engineer have at Policy Expert?

As a Lead Data Engineer at Policy Expert, you'll lead the development of our data platform, working with teams to ensure data quality and ownership. Your role will involve driving pricing optimization initiatives, mentoring Senior Data Engineers, and ensuring technical excellence, all while fostering a culture of collaboration.

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What qualifications do I need to apply for the Lead Data Engineer position at Policy Expert?

To apply for the Lead Data Engineer role at Policy Expert, candidates should have proven experience in leading data engineering teams, expertise in scalable data platform design, and a strong understanding of data processing tools like AWS Glue and Apache Spark, along with proficiency in Python and SQL.

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How does the culture at Policy Expert support Lead Data Engineers?

The culture at Policy Expert promotes collaboration and continuous improvement, providing a supportive environment for Lead Data Engineers. You'll have opportunities to mentor others, share knowledge, and drive innovative solutions, all while working alongside passionate colleagues who share your vision.

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What is the onboarding process for a new Lead Data Engineer at Policy Expert?

Upon joining Policy Expert as a Lead Data Engineer, you'll go through a structured onboarding process that includes an introduction to our company culture, a deep dive into our data platform, and opportunities to meet your peers, ensuring you feel welcomed and well-prepared for your new role.

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What tools and technologies will I work with as a Lead Data Engineer at Policy Expert?

As a Lead Data Engineer at Policy Expert, you'll work with an array of modern tools and technologies, including AWS Glue, Apache Spark, Amazon Redshift, and DynamoDB, as well as orchestration tools like GitHub Actions and CloudFormation, to help build scalable data solutions.

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How does Policy Expert ensure a work-life balance for its Lead Data Engineers?

At Policy Expert, we value work-life balance and offer a 50/50 hybrid work model for our Lead Data Engineers. This flexibility allows you to work remotely, ensuring you can meet both your professional commitments and personal needs.

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What career growth opportunities are available for Lead Data Engineers at Policy Expert?

Policy Expert is committed to employee development, offering a learning budget, mentorship opportunities, and the chance to lead innovative projects, ensuring that Lead Data Engineers have ample opportunities to advance their careers within the company.

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Common Interview Questions for Lead Data Engineer
What led you to pursue a career as a Lead Data Engineer?

To effectively answer this question, reflect on your passion for technology and data. Share specific experiences that drove you to take on leadership roles and how those experiences align with the mission and values of Policy Expert.

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Can you explain your experience with building scalable data platforms?

When discussing your experience, focus on specific projects where you utilized technologies like AWS Glue or Apache Spark. Elaborate on the challenges you faced and how you overcame them to deliver a robust solution, linking it back to how it can benefit Policy Expert.

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How do you ensure data quality in your projects?

Highlight your approaches to data quality, such as implementing validation checks, using monitoring tools, and fostering a culture of accountability within your team. Relate your strategies to the data-driven decisions at Policy Expert.

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Describe a time when you had to mentor a junior engineer. What was your approach?

Share a specific instance where you guided a junior engineer, detailing your mentoring style, the setting, and the outcomes. Emphasize how your approach fosters growth, innovation, and collaboration within technical teams at Policy Expert.

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What strategies do you use to communicate technical information to non-technical stakeholders?

Discuss your tactics for breaking down technical jargon into digestible concepts, such as using analogies or visuals. Give an example of a time you successfully communicated a complex idea to ensure stakeholders understood its significance.

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How do you stay updated with industry trends and technologies in data engineering?

Mention specific resources, like industry blogs, webinars, or networking groups, that keep you informed about the latest data engineering trends. Highlight your commitment to continuous learning, particularly in how this can benefit your role at Policy Expert.

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What is your experience with event-driven architectures?

Provide concrete examples of projects where you implemented event-driven architectures. Explain how this experience will enhance your contributions as a Lead Data Engineer at Policy Expert, specifically regarding scalability and responsiveness.

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Can you discuss a challenging project and how you approached it?

Share a specific project where you encountered challenges. Detail your problem-solving techniques and how you rallied your team to overcome obstacles, relating it back to the collaborative culture at Policy Expert.

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What role does Python play in your data engineering process?

Explain your proficiency in Python as it relates to data querying and processing. Provide examples of scripts or pipelines you've built, emphasizing how your skills will align with the technical needs of Policy Expert.

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How would you approach building a pricing optimization market model?

Discuss the key components of creating a pricing optimization model, including data sourcing, feature engineering, and collaboration with stakeholders. Emphasize your analytical approach and how it aligns with Policy Expert's growth targets.

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Full-time, hybrid
DATE POSTED
November 27, 2024

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