Data Lead - London, United Kingdom - Bounot Conseil
Bounot Conseil
London, United Kingdom
Verified Company
2 weeks ago
Description
Domaine :
data
-
Durée de Travail : Temps Plein
-
Entrée en fonction : Immédiate
-
Publié le : 14/04/2023
-
Type de Contrat : CDI
-
Salaire : £ A £ Par an
-
Lieux : Londres, Londres
Présentation de la société:
The company is a young fintech startup with the potential to change how insurance payments flow through the worldwide distribution chain.
Journey at the company has just started, but they already have clients, generate revenue and have just secured a large.
Seed funding round. At this company, the mission to reduce to time spent on premium processing to 0.The company operate a remote first working policy with frequent in-person workshops. They value (semi)-weekly in-person workshops in their London office and work the rest of the time remotely. This allows us to discuss strategic goals, forge a strong company culture and have fun with varying activities.
Description:
The company is looking for an experienced data lead who is passionate about structuring and retrieving data in the most efficient way possible.
Exigences:
Skills & Experience needed:
- At least 5 years of experience in data engineering or related field
- BSc in Computer Science or similar
- Proven experience with Python
- Strong understanding of data warehousing, ETL processes, and data modelling
- Be a resident in England, Wales or Scotland
- Be curious and reliable
- enjoy learning
- Leadership
- Experience with Fintech companies
- Have an understanding how insurance works
- Experience with data visualisation tools, especially AWS QuickInsights, is a plus
Avantages:
- They provide a full autoenrolment workplace pension for all employees
- Large amounts of autonomy and empowerment in your work
- We offer 30 days of holiday per annum, including bank holidays
- Dynamic working hours / remote working. We expect you to establish an effective working pattern that allows you to excel in your role and caters for your personal preferences.