Data Platform Developer

2 days ago


Budapest, Budapest, Czech Republic GSCF Full time

At GSCF, we're shaping the future of working capital solutions with our innovative platform. As a leading global provider, we unlock liquidity and optimize working capital through a connected ecosystem of suppliers, buyers, and financial partners.

Our team of experts operates in over 75 countries, offering a truly global perspective to solve complex working capital efficiency challenges. We empower businesses to improve cash flow, manage risk, and drive sustainable growth with our comprehensive platform, expert managed services, and access to alternative capital solutions.

The Role

We seek a highly motivated and skilled Cloud Data Architect to join our hybrid-working team. As a key member of our data engineering team, you will design, implement, and maintain high-performance data warehousing solutions. Your expertise in designing and optimizing complex data models, developing robust ETL/ELT pipelines, and ensuring scalability will be crucial in driving business growth.

What We Offer:

  • A challenging role where you'll play a key part in driving business growth
  • The opportunity to join a scaled and profitable start-up
  • A dynamic and supportive work environment focused on innovation and growth
  • International exposure and experience
  • Competitive salary and benefits
  • Hybrid-working model
  • Opportunities for on-the-job training and career development

As a Cloud Data Architect at GSCF, you will have the chance to collaborate with data analysts and business stakeholders to understand data requirements and deliver solutions that meet their needs. You will also apply software engineering best practices throughout the data platform, ensuring the quality of datasets by implementing thorough data testing.

Responsibilities:
  • Design and implement complex data models to support operational and analytical needs
  • Develop and optimize data warehousing solutions for high performance and scalability
  • Create simple and effective self-service solutions to democratize data
  • Work closely with data analysts and business stakeholders to understand data requirements
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and store datasets from various sources
  • Apply software engineering best practices throughout the data platform
  • Ensure the quality of datasets by implementing thorough data testing
Requirements:
  • Strong skills in SQL and Python
  • Experience with modern data processing tools (e.g., dbt, Kafka)
  • Knowledge of pipeline orchestration solutions like Airflow and Dagster
  • Experience with public cloud providers (e.g., AWS, Azure)
  • Proficiency in cloud Data Warehousing solutions such as Snowflake, Databricks, and Redshift
  • Understanding of RDBMS systems like MySQL, PostgreSQL, or SQL Server
  • Solid data modeling skills
  • Familiarity with infrastructure as code tools (Terraform, CDK) and Kubernetes is beneficial
  • Familiarity with the modern data stack is a plus

Benefits include international exposure, a competitive salary, and opportunities for career growth and development. Join our innovative and collaborative team today



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