Data Engineer

Join to apply for the Data Engineer role at Markel International

Join to apply for the Data Engineer role at Markel International

Are you a detailed orientated Python Developer?

Do you have experience in Databricks and PySpark?

Come and join us as our Data Engineer and support the team here at Markel.

What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit among our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realise our potential, we can help others reach theirs.

Join us and play your part in something special!

The opportunity :

It’s an exciting time to join Markel as our business grows and we are seeking a motivated and detail-oriented Python Developer with experience in Databricks and PySpark to join our dynamic team. The candidate will work within the Advanced Analytics team, closely collaborating with a mixture of data scientists, data engineers, actuaries, and AI specialists. The role involves working both remotely and across several different countries.

You will be part of an R&D-oriented team with strong cloud data, software engineering, and modelling skills. The team will support you in creating and using data models, ensuring the highest standards in data integrity, and making sure our data products meet software standards throughout their development phases.

The ideal candidate will possess a strong background in Python development, a solid understanding of data engineering concepts, and familiarity with CI / CD and automated testing.

Our must haves :

• Develop and maintain Python scripts and applications using Databricks and PySpark
• Collaborate with cross-functional teams to design and implement effective data solutions
• Participate in code reviews to ensure adherence to best practices
• Write clean, maintainable Python code that adheres to SOLID principles and facilitates the robust development of our data infrastructure
• Troubleshoot and resolve technical issues promptly
• Stay ahead of the latest trends and advancements in Python development and data engineering
• Implement and maintain CI / CD pipelines for automated testing and deployment
• Design RESTful APIs that serve as the conduits for data flow across different systems within our enterprise
• Advance our AI / ML platform by contributing to the data architecture that supports complex analytical models

Who we are :

Markel Corporation (NYSE – MKL) a Fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.

We’re all about people | We win together | We strive for better | We enjoy the everyday | We think further

What’s in it for you :

Are you ready to play your part?

Choose ‘Apply Now’ to fill out our short application, so that we can find out more about you.

Markel celebrates the value of a diverse workforce that brings experience and expertise from a wide variety of backgrounds and life circumstances. Whatever your background, if you feel you meet the requirements of this role then we want to hear from you. We are also happy to consider candidates who are looking for flexible working patterns.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided with all reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful. Please contact us via email at rec@markel.com or call us at 0161 507 5827 to request any accommodations that may be needed. This includes any alternative formats of any documents or information on how to apply offline.

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Seniority level

Seniority level

Entry level

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Full-time

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Information Technology

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Insurance

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