Data Platform Architect

1 week ago


Budapest, Budapest, Czech Republic GSCF Full time

Job Title: Senior Data Engineer - Cloud Solutions

About GSCF:

GSCF is a leading global provider of working capital solutions. The company's innovative solution, Working Capital as a Service, unlocks liquidity and optimizes working capital through a connected capital ecosystem of suppliers, buyers, and financial partners.

We combine a comprehensive platform, expert managed services, and access to alternative capital solutions to empower businesses to improve cash flow, optimize efficiency, manage risk and complexity, and drive sustainable growth.

The Role:

We are seeking a highly motivated and skilled Data Platform Engineer to join our team who will work hybrid. As a Data Platform Engineer, you will be responsible for creating, maintaining, and continuously improving the company's data platform.

You will design and implement complex data models, develop robust ETL/ELT pipelines, and ensure high performance and scalability of the data warehousing solutions.

What We Offer:

  • A clearly defined and challenging role where you will play a key part in financial planning
  • The opportunity to join a scaled and profitable start-up
  • Ambitious and fun group of colleagues
  • International exposure and experience, as well as exposure to highest decision makers
  • Competitive salary: $120,000 per year (based on location)
  • Ambitious and fun group of colleagues
  • Hybrid-working model
  • Opportunities for on-the-job training and career development
  • A dynamic and supportive work environment focused on innovation and growth

Responsibilities:

  • Create, maintain, and continuously improve the company's data platform
  • Develop and optimize data warehousing solutions for high performance and scalability
  • Create simple and effective self-service solutions to democratize data
  • Design and implement complex data models to support both operational and analytical needs
  • Work closely with data analysts and business stakeholders to understand data requirements and deliver solutions that meet their needs
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and store datasets from various sources
  • Apply and endorse software engineering best practices (version control, testing, CI/CD) throughout the data platform
  • Ensure the quality of datasets by implementing thorough data testing

Requirements:

  • SQL
  • Python
  • Data processing tools
  • Airflow
  • Dagster
  • Public cloud
  • Snowflake
  • Databricks
  • Redshift
  • RDBMS
  • MySQL
  • PostgreSQL
  • Data modeling
  • Terraform
  • CDK
  • Kubernetes
  • Modern data stack


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