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 13 days 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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