DataOps Engineer - Bigdata & Analytics Fintech


DataOps Engineer - Bigdata & Analytics Fintech

  • CDI 
  • Début :  
  • Paris
  • Bac +5 / Master
  • > 2 ans




  • FinTech / InsurTech
  • Entre 15 et 50 salariés

Le poste

DataOps Engineer - Bigdata & Analytics Fintech

  • CDI 
  • Début :  
  • Paris
  • Bac +5 / Master
  • > 2 ans

Qui sont-ils ?

About Opensee

Opensee provides instant big data analytics solutions to financial institutions. Our mission is to empower business users to autonomously exploit data at a scale and granularity never seen before in order to optimize risk management, trade execution, regulatory reporting and more.
Founded in 2015 by senior banking executives and big data technology experts, Opensee’s commercial traction exploded in 2020 with deployment in several Tier 1 financial institutions on critical use cases. To sustain that growth, we doubled our headcount that same year and are now expanding in London, NYC and Singapore.

What’s in it for you?

  • Develop expertise in one of the most advanced solution for risk aggregations
  • Work in a dynamic environment where innovation and creativity are highly value
  • Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth
Envie d’en savoir plus sur Opensee ?Culture d'entreprise, équipes, stack technique, offres d'emplois... C’est parti pour l’immersion !
Visiter le profil

Descriptif du poste

What are you going to do? 

You will work in the team responsible for all aspects of the client success project. This involves closely working with client’s internal teams to drive growth and address concerns efficiently: 

  • Install our solution in client infrastructure, at the multiple steps of the sales process (POC / Test / Production). Clients could use servers, VM, clouds (aws, azure, gcloud), and you must be able, with the help of the teams and our experience, to adapt to that.
  • Help the client integrate our solution in their ecosystem
  • Ingesting their data (possibly managing an ETL)
  • Integrating our clients (windows, web) with their environment, e.g. for authentication
  • Helping them with our API
  • Help the client use our platform particularly using our python User Defined Function system, similar to AWS lambda.

We also have a CLI written in go, to deploy and manage our platform on bare-metal servers and kubernetes (something like aws-cli). Your role will be to improve, expand and stabilize this CLI, that is used by us, and our clients.

You will also take part of the Ops part of our infrastructure, that is used for CI/CD/CT and demo. We are also implementing a SaaS and you will work on that too.

Keywords: linux, bash , python pandas, ops, devops, database, docker, kubernetes

Profil recherché

About you

Interest: You like to have your hands dirty from systemd to CI/CD pipelines passing by firewalls and ssh tunnels on multiple environments? Come talk to us.
Qualities: Great communication and negotiation skills; Autonomy AND Team working ; Creativity, Problem-solving mindset, Proactive
Prior experience: Ops / DevOps experience (on-premise or in cloud) a plus.
Curriculum: Minimum 2 years 
Technical skills:

  • Unix systems / Bash / networks
  • Terraform / golang / Docker / Kubernetes
  • Big data / Distributed databases / SQL / Python (numpy, pandas)
  • Scripting / Analyzing / Optimizing in the context of Tera or Peta scale data
  • Testing, Deployment logics, Hardware specifications, Integration

Language skills: Fluent in English both written and verbal, French is a plus 

Working conditions 

  • Multiple full-time positions
  • Duration : permanent contract
  • Salary : Competitive, profile based
  • Location : Paris (near Saint-Lazare)

How to apply
Send us your resume and a brief description of why you are interested in joining us, and we will come back to you very shortly!



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