Data Engineer - Python

London Market’s Data Engineering Chapter needs new data engineers. We are looking for strong and dynamic team players to build modern solutions and deliver value to our business. 

Our team 

The London Market tech team is a modern, agile technology department seeking to work as closely as possible with our colleagues across the company to deliver true business value in an agile fashion. We are a group of engineers (data, software, test), data scientists and agile practitioners. We organise ourselves into chapters according to these professional disciplines. You would be joining our data engineering chapter. 

We build teams that can get stuff done and deliver value incrementally to the business; teams that understand what agility really is and always looks to keep things simple and avoids excessive amounts of code. We adopt best practices in the cloud and understand the importance of DevOps to ensure we can easily build, deploy and monitor solutions when they go into production. 

What you’ll be doing 

• Working with business stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems 

• Helping to design, build and support a new cloud-based analytics platform for the business 

• Being a core and professional member of the new Data Engineering Team 

• Supporting other teams including data scientists and data operations analysts. 

• Understanding business requirements and help refine into development tasks and estimate their complexity 

• Researching, evaluating and adopting new technologies with a right tool for the job mentality 

• Focusing on both speed of delivery and quality, with suitable pragmatism – ensuring your solutions are always appropriate and not too complex or over-engineered 

• Quickly progressing projects from proof-of-concept to post-production stage 

• Communicating and presentation of ideas to colleagues in all parts of the wider tech team 

• Participating in code reviews for the Data Engineering Team 

Our must haves 

• Knowledge of, or ability to rapidly adopt our core languages for data engineering – Python and SQL. 

• A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. 

• Ability to contribute to all aspects of a solution – design, infrastructure, development, testing and maintenance. 

• The ability to design and advocate for technical solutions to business problems. 

• Effective collaboration with technical and non-technical team members through agile ceremonies – roadmap planning, feature workshops, backlog elaboration, code review. 

• An understanding of cloud technology and a realisation that cloud-native solutions must be built differently from traditional ones. 

• Track record of taking initiative and delivering projects end-to-end; clear evidence of being self-driven/ motivated 

• Immense curiosity, high energy and desire to go the extra mile to make a difference. 

Our nice to haves 

Beyond the required skills we are open to individuals of diverse talents. Experience with additional technologies, data science knowledge or a business background are all valued. We want to know how your unique abilities can contribute to our team.  

Diversity and flexible working at Hiscox 

At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. 

We have also learned over the past couple of years that working life doesn’t always have to be in the office, and have adopted hybrid ways of working to encourage a healthy work life balance. We anticipate the successful candidate for this role will be in the office up to X days per week.  

We see it as the best of both worlds: structure and sociability on one hand, and independence and flexibility on the other.