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Data Engineer / Ingenieur - Swisslinx

Jobs via eFinancialCareers

Genf · On-site 1w ago

About the role

Job Description

  • You will be joining a small team of 4 people who are based in the Geneva office.
  • In terms of responsibilities, the split is roughly % focused on building new systems and 0% on maintaining existing infrastructure, making this a largely greenfield environment, especially with plans to integrate more AI and ML capabilities into the data pipelines.

Responsibilities

  • Assist in developing and maintaining stable data pipeline to support trading and business activities
  • Support the onboarding and processing of interesting new data sets, working with developers, traders, and portfolio managers across the organization
  • Develop a keen understanding of the data and how it is being utilized in our systems, analytics, and investment process

Requirements

  • Bachelor's degree in computer science, Engineering, Mathematics, or Finance
  • +2 years of development experience using either Python, C# or Java/ C++
  • +2 years of database/SQL experience
  • Familiarity with OO programming
  • Experience with ETL/ELT tools (dagster, airflow, dbt, talend etc.)
  • Experience with container orchestration tools is a plus (Swarm, Kubernetes, ECS, etc.)
  • Must be comfortable with development across the application stack
  • You must be fluent in English and be happy to be onsite 5 days a week
  • Ability to work effectively in a high-energy, time sensitive team environment

Requirements

  • Familiarity with OO programming
  • Experience with ETL/ELT tools (dagster, airflow, dbt, talend etc.)
  • Experience with container orchestration tools is a plus (Swarm, Kubernetes, ECS, etc.)
  • Must be comfortable with development across the application stack
  • You must be fluent in English and be happy to be onsite 5 days a week
  • Ability to work effectively in a high-energy, time sensitive team environmen

Responsibilities

  • Assist in developing and maintaining stable data pipeline to support trading and business activities
  • Support the onboarding and processing of interesting new data sets, working with developers, traders, and portfolio managers across the organization
  • Develop a keen understanding of the data and how it is being utilized in our systems, analytics, and investment process

Skills

C#C++DagsterDBTECSETLJavaKubernetesMLPythonSQLSwarmTalendAirflow

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