Data Engineer
Data Engineer
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Job Description
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 youre looking for a place where you can make a meaningful difference youve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities and youll find your fit among our global community of optimists and problem-solvers. Were 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:
Its 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.
Were all about people We win together We strive for better We enjoy the everyday We think further
Whats in it for you:
A great starting salary plus annual bonus & strong benefits package
Paid holiday plus Bank Holidays with the opportunity to buy / sell extra leave
Fantastic company pension scheme private medical and dental cover life assurance travel insurance cover income protection season ticket loan as well as other great benefits on offer
There are countless opportunities to learn new skills and develop in your career and we can provide the support needed to do just that!
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 or call us at 0 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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Employment Type
Full-Time
