Data Engineer in London

Data Engineer in London

London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
UnderwriteMe

At a Glance

  • Tasks: Design and develop data pipelines that power analytics and AI-driven features.
  • Company: Join UnderwriteMe, a dynamic Insurtech company transforming the insurance industry.
  • Benefits: Enjoy 25 days annual leave, private healthcare, and wellness initiatives.
  • Other info: Collaborative culture with opportunities for personal growth and community involvement.
  • Why this job: Be part of an innovative team shaping the future of data and AI in insurance.
  • Qualifications: Experience with DataOps, cloud services, and a passion for data and AI.

The predicted salary is between 36000 - 60000 £ 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.

As a Data Engineer, you'll play a key role in evolving our already advanced data technology stack (Snowflake, dbt, etc.) to one that's industry leading. You will work in a fast-paced environment alongside product, analytics, and engineering teams, contributing to the development of products and datasets to be used by our AI, analytics and products directly.

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.

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. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of 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 9x basic annual salary and Group Income Protection up to 75% of basic annual salary.
  • Optical benefits.
  • 15% combined employee/employer contributions.
  • Subsidized 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 in London 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 a dynamic environment, our team thrives on collaboration and innovation, making it an ideal place for passionate individuals eager to make a meaningful impact in the data and AI industry.

UnderwriteMe

Contact Details:

UnderwriteMe Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in the past.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!

We think you need these skills to ace Data Engineer in London

DataOps methods
Data quality improvement techniques
Agile methodologies
Continuous delivery
Continuous integration pipelines
DevOps concepts
Terraform

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data pipelines, cloud services, and any relevant tools like Snowflake or dbt. We want to see how your skills align with what we're looking for!

Show Your Passion:Let us know why you're excited about working in the data and AI industry. Share any projects or experiences that showcase your enthusiasm and how you’ve applied new techniques or tools. We love candidates who are genuinely passionate about what they do!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. Remember, we want to understand your background without getting lost in jargon, so make it easy for us to see your potential!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at UnderwriteMe!

How to prepare for a job interview at UnderwriteMe

Know Your Data Tools

Familiarise yourself with the specific data technologies mentioned in the job description, like Snowflake and dbt. Be ready to discuss your experience with these tools and how you've used them to solve real-world problems.

Showcase Your Problem-Solving Skills

Prepare examples of complex data issues you've encountered and how you resolved them. Highlight your troubleshooting process and the impact of your solutions on data quality and efficiency.

Communicate Clearly

Practice explaining technical concepts in simple terms. Since you'll be working with non-technical stakeholders, being able to communicate effectively is crucial. Think of ways to make your explanations relatable.

Demonstrate Your Passion for Data

Share your enthusiasm for the data and AI industry during the interview. Discuss any recent trends or tools you've explored and how they could benefit the company. This shows you're proactive and genuinely interested in the field.