Data Engineer

4 weeks ago

Budapest, Czech Republic GSCF Full time
  • Strong coding skills in SQL and Python.
  • Strong experience with modern data processing tools (e.g., dbt, Kafka).
  • Experience with pipeline orchestration solutions like Airflow and Dagster.
  • Experience with a public cloud provider (e.g., AWS, Azure).
  • Proven experience with cloud Data Warehousing solutions such as Snowflake, Databricks, and
    Redshift.
  • Experience managing and optimizing classic RDBMS systems like MySQL, PostgreSQL, or SQL
    Server.
  • Solid data modeling skills, with experience designing and optimizing data models for various
    use cases.
  • Familiarity with infrastructure as code tools (Terraform, CDK) and Kubernetes is beneficial.
  • Familiarity with the modern data stack is a plus.

GSCF is the leading global provider of working capital solutions. GSCF's Working Capital as a Service is an innovative solution that 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. GSCF’s team of working capital experts operates in over 75 countries, offering a truly global and end-to-end perspective to solve working capital efficiency challenges.

  • Alternative Capital Control & Flexibility: GSCF is the only provider with control of capital that oversees credit decisioning and servicing of our own funding vehicle, offering same-day credit decisions, broader risk coverage, and flexible program structures.
  • Comprehensive Platform: GSCF's configurable platform provides real-time visibility and a unified view of data for the end-to-end invoice lifecycle, seamless integration with ERPs, additional systems, operational workflows and multi-funder access across the connected capital ecosystem of suppliers, buyers and funders.
  • Expert Managed Services: Our team of working capita experts becomes an extension of yours, delivering strategic guidance, operational efficiency improvements, and proactive global support.

The Role

We are seeking a highly motivated and skilled Data Platform Engineer to join GSCF 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 and benefits
  • Hybrid-working model
  • Opportunities for on-the-job training and career development
  • A dynamic and supportive work environment focused on innovation and growth


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin, or any other category protected by law.

,[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 Additionally: Medicover, Accident and life insurance, SZÉP card, EAP, Bonus, International environment, Home office, Trainings, Modern office building, Bike parking., Showers, Chill room, Free fruits, Free drinks, tea, coffee and plant milks.

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