Data Engineer for Dynamic Environments
Há 1 mês
About Signal AI
At Signal AI, we want to help organisations identify risks and opportunities and see movements in the market before anyone else. We aim to provide leaders with accurate data to make bold decisions. Our mission is to connect external data points together and uncover unknown unknowns.
Role Overview
This Data Engineer role requires someone who thrives in dynamic environments and is comfortable working on both back-end and front-end development. The successful candidate will implement and maintain infrastructure using Terraform as IaC and AWS as the cloud provider.
Responsibilities
- Implementing and maintaining infrastructure to support services owned by the team
- Building services that can cope with large volumes of data
- Working with varied technologies such as Clojure, Python, React, Angular
- Collaborating with the definition of products to be built and delivered
- Communicating with other teams and stakeholders when needed
- Providing coaching/mentoring to less experienced engineers
Required Skills and Qualifications
The ideal candidate should have experience with:
- Terraform as Infrastructure as Code (IaC)
- AWS as cloud provider
- Back-end and front-end development
- Clojure, Python, React, Angular
- Databases and storage systems like ElasticSearch, PostgreSQL, S3
Benefits
Signal AI offers a hybrid remote policy with 2-3 days remote per week, plus summer & winter fully remote blocks. Other benefits include unlimited holiday entitlement, Coverflex Meal Cards, Health Insurance & discounts, Maternity, Paternity and Dependents Leave policies, and access to free therapists via Spill.
Salary
We offer a competitive salary of $120,000 - $150,000 per year, depending on experience.
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