Data Engineer (with GCP)

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

Description For Data Engineer (with GCP)

Softeta is seeking a skilled Data Engineer to join their team, working for a leading European financial services group. The role involves being part of a newly established reporting team, focusing on regulatory demands and Next Generation Custody specific data analytics and reporting needs.

Responsibilities:

  • Utilize the data platform to build reports and analytics
  • Establish data products and incorporate them into reports and market place
  • Collaborate with architects, product owners, and other developers

Requirements:

  • Proficiency in Google Cloud Platform (GCP) services (BigQuery, Dataform, Dataflow, Cloud Functions)
  • Advanced programming skills in Python
  • Competence in SQL programming
  • Familiarity with version control systems (GitLab or GitHub)
  • Experience with Tableau/Looker
  • Knowledge of Terraform
  • Understanding of data processes (ETL/ELT, data modeling, 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 the opportunity to work with modern cloud technologies and contribute to establishing new data products and integrations.

Last updated 40 minutes ago

Responsibilities For Data Engineer (with GCP)

  • Utilize the data platform to build reports and analytics
  • Establish data products and incorporate them into reports and market place
  • Collaborate with architects, product owners, and other developers

Requirements For Data Engineer (with GCP)

Python
Kubernetes
  • Proficiency in Google Cloud Platform (GCP) services
  • Advanced programming skills in Python
  • Competence in SQL programming
  • Familiarity with version control systems (GitLab or GitHub)
  • Experience with Tableau/Looker
  • Knowledge of Terraform
  • Understanding of data processes (ETL/ELT, data modeling, data quality management)
  • Fundamental understanding of CI/CD practices

Benefits For Data Engineer (with GCP)

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

Interested in this job?

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