Data Engineer - Python

Detalhes da Vaga

At Hiscox (Permanent), in Lisbon, Portugal
Salary: €30.000 - €65.000
Expires at: ********
Remote policy: Partial remote
About us:
Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet, and plenty of room to grow. Listed on the London Stock Exchange and headquartered in Bermuda, Hiscox has over 3,000 staff across 14 countries and 34 offices. Structured by geography and product, Hiscox's long-held business strategy has helped them grow from a niche Lloyd's underwriter to an international insurance group with a powerful consumer brand.
In our Lisbon office, we have the privilege of employing approximately 500 exceptional professionals representing 29 diverse nationalities. Despite our central location within the city, we recognize the importance of maintaining a healthy work-life balance. As part of our commitment to our employees' well-being, we provide a 35-hour workweek along with the option for a hybrid working schedule.
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  Main requirements 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.  Nice to have 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.
Benefits & Perks Healthy work-life balance with our 35h/week and hybrid working system. Holidays: 25 days + 2 Hiscox Days (Extra two Annual Leave). Health insurance, gym allowance, pension plan etc. After 5 years work 1-month sabbatical leave. Team spirit with many opportunities to engage and an open culture.


Salário Nominal: A acordar

Fonte: Grabsjobs_Co

Função de trabalho:

Requisitos

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