Data Engineer

Softeta is a computer software company specializing in financial services solutions.
Data
Mid-Level Software Engineer
Remote
3+ years of experience
Finance

Description For Data Engineer

Softeta, a computer software company, is seeking a skilled Data Engineer to join their team. You will be working for a leading European financial services group, focusing on establishing a reporting team to meet legal and regulatory demands.

As a Data Engineer, you will:

  • Help establish integrations to the new data platform
  • Focus on Next Generation Custody specific data analytics and reporting needs
  • Utilize the data platform to build reports and analytics
  • Be part of establishing data products and incorporating them into reports and market place
  • Collaborate with architects, product owners, and other developers

Requirements:

  • Proficiency in Google Cloud Platform (GCP) and experience with services like BigQuery, Dataform, Dataflow, and Cloud Functions
  • Advanced programming skills in Python
  • Competence in SQL programming for data manipulation and querying
  • Familiarity with version control systems (GitLab or GitHub)
  • Experience with Tableau/Looker
  • Knowledge of Terraform for managing cloud infrastructure
  • Understanding of data processes like ETL/ELT, data modeling, and data quality management
  • Fundamental understanding of CI/CD practices

Benefits:

  • Diverse and technically challenging projects
  • Flexible working hours and hybrid or remote workplace model
  • Flexible schedule and Agile/SCRUM environment
  • Choice of technical equipment

Join Softeta to work on cutting-edge data engineering projects in the financial services sector, with a focus on regulatory reporting and data analytics. This role offers an opportunity to work with modern cloud technologies and contribute to the development of crucial data products.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Utilize the data platform to build reports and analytics
  • Be a part of establishing data products and incorporating them into reports and market place
  • Collaborate with architects, product owners and other developers

Requirements For Data Engineer

Python
  • Proficiency in Google Cloud Platform (GCP) and demonstrated experience with GCP services, including BigQuery, Dataform, Dataflow, and Cloud Functions
  • Advanced programming skills in Python
  • Competence in SQL programming for data manipulation and querying
  • Familiarity with version control systems such as GitLab or GitHub
  • Experience with Tableau/Looker
  • Knowledge of Terraform - Infrastructure as Code (IaC) tool for managing cloud infrastructure
  • Understanding of data processes like ETL/ELT, data modeling, and data quality management
  • Fundamental understanding of Continuous Integration/Continuous Deployment (CI/CD) practices

Benefits For Data Engineer

  • Diverse and technically challenging projects
  • Flexible working hours and hybrid or remote workplace model
  • Flexible schedule and Agile/SCRUM environment
  • Technical equipment which you can choose

Interested in this job?

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