Data Engineer

Data Engineer

Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop data pipelines that power analytics and AI features.
  • Company: Join UnderwriteMe, a dynamic Insurtech company transforming the insurance industry.
  • Benefits: Enjoy 25 days annual leave, private healthcare, and wellness initiatives.
  • Why this job: Make a real impact in the data and AI space while working with cutting-edge technology.
  • Qualifications: Experience in DataOps, cloud services, and strong problem-solving skills required.
  • Other info: Be part of a supportive team culture that values work-life balance and community involvement.

The predicted salary is between 28800 - 48000 ÂŁ per year.

Data is at the core of UnderwriteMe’s business, powering customer‑facing SaaS insight capabilities, internal decision‑making, and strengthening our parent company PL Re’s relationship with customers.

What You’ll Be Doing

  • Design, develop and support key data pipelines, products and services that power analytics, AI, and customer‑facing features.
  • Work with key business domains to understand their requirements; extracting and modelling data to match these requirements.
  • Draw upon broader industry techniques to data management and implement them proactively.
  • Design, implement and optimise large‑scale data management solutions, balancing cost and efficiency.
  • Monitor and troubleshoot performance or data quality issues; ensuring well‑modelled data that consistently achieves data quality benchmarks.
  • Communicate technical concepts and designs to non‑technical stakeholders.

What Type Of Person Fits The Role

  • You’ll be highly self‑motivated, able to absorb new ideas or concepts quickly, and apply these to the betterment of the team – seeking opportunities for the team, rather than waiting to be asked.
  • You’ll have a passion for the data and AI industry as a whole – keen to apply tools or techniques you’ve come across into workable solutions.
  • You’ll be a skilled problem‑solver and troubleshooter, capable of diagnosing complex data issues quickly and effectively.
  • You take ownership of your work end‑to‑end and care deeply about data quality, reliability, and the impact of what you build.
  • You seek out feedback from your team, peers, and stakeholders, and act on it thoughtfully.
  • You show humility, admit when you’re wrong, learn from mistakes, and create an environment where others feel safe to do the same.

Technical Requirements

  • Experience with DataOps methods and data quality improvement techniques.
  • Experience with agile methodologies and continuous delivery.
  • Experience with continuous integration pipelines and technologies.
  • Experience with DevOps concepts and tooling (Terraform, Kubernetes etc.).
  • Proficiency with cloud services (ideally AWS).
  • Proficiency with data modelling tools and techniques (dbt).
  • Experience or proven interest with large‑scale data processing (Spark, Hadoop, Pig etc.).
  • Proficiency with structured or custom ETL/ELT management (Airflow, Dagster, etc.).
  • Experience or proven interest in AI/MLOps technologies.
  • Proficiency with SQL databases (Relational, Snowflake, etc.).
  • Excellent communication skills.

About UnderwriteMe

UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible.

Our Core Products Are

  • Decision Platform – a B2B enterprise platform that provides a best‑in‑market Underwriting Rules Engine used by over 30 insurers to power their underwriting decisions.
  • Protection Platform – a B2B2C marketplace used by over 15,000 advisors to power quoting and purchase of protection products in the UK.

Working for UnderwriteMe

Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You’d be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. We work hard and thrive on achievement, but we also know how to have fun and relax too. We host regular team‑building days to strengthen our team’s connection with each other and reflect on their successes. Providing employees with a healthy work‑life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee’s involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities.

Benefits (Only for Permanent and Fixed‑Term Employees)

  • 25 days of annual leave with option to buy/sell more days.
  • Adoption and fertility leave.
  • Generous enhanced parental leave.
  • Comprehensive private insurance coverage for employee and dependents.
  • Group Life Insurance coverage of 9Ă— basic annual salary and Group Income Protection up to 75% of basic annual salary.
  • Optical benefits.
  • 15% combined employee/employer contributions.
  • Subsidised gym membership.
  • Access to Employee Assistance Program.
  • Cycle to Work and Electric Car Salary Sacrifice Scheme.
  • Time off for volunteering.
  • Charitable matching of employee donations.

As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.

Data Engineer employer: UnderwriteMe

UnderwriteMe is an exceptional employer that fosters a vibrant and inclusive work culture, where every team member's unique contributions are valued. With a strong commitment to employee growth, we offer extensive benefits including generous leave policies, comprehensive healthcare, and wellness initiatives, all while promoting a healthy work-life balance. Located in the heart of London, our dynamic environment encourages innovation and collaboration, making it an ideal place for passionate individuals to thrive in the data and AI industry.
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Contact Detail:

UnderwriteMe Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current UnderwriteMe employees on LinkedIn. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to data engineering, make sure to share it. It’s a great way to demonstrate your expertise and passion for the field.

✨Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the UnderwriteMe team.

We think you need these skills to ace Data Engineer

Data Pipeline Design
Data Modelling
DataOps Methods
Agile Methodologies
Continuous Integration
DevOps Concepts
Cloud Services (AWS)
Data Processing (Spark, Hadoop, Pig)
ETL/ELT Management (Airflow, Dagster)
AI/MLOps Technologies
SQL Databases (Relational, Snowflake)
Communication Skills
Problem-Solving Skills
Attention to Detail
Ownership and Accountability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, especially around data management and AI. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission at UnderwriteMe. Let us know what excites you about this role and our company.

Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love candidates who take ownership and can demonstrate their troubleshooting abilities in data-related scenarios.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at UnderwriteMe

✨Know Your Data Inside Out

Before the interview, dive deep into data management concepts and tools relevant to the role. Brush up on your knowledge of DataOps methods, ETL/ELT processes, and cloud services like AWS. Being able to discuss these topics confidently will show that you're not just familiar with the basics but are genuinely passionate about data.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex data issues you've tackled in the past. Think about how you diagnosed problems and what solutions you implemented. This will demonstrate your troubleshooting abilities and your ownership of projects, which is crucial for a Data Engineer at UnderwriteMe.

✨Communicate Like a Pro

Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying complex ideas. Use analogies or real-world examples to make your points clear. This skill will be vital in ensuring everyone understands the value of your work.

✨Embrace Feedback and Humility

During the interview, express your willingness to learn from feedback and admit when you're wrong. Share instances where you sought input from peers and how it improved your work. This attitude aligns perfectly with UnderwriteMe's culture of collaboration and continuous improvement.

Data Engineer
UnderwriteMe
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