Senior Data Engineer

GSCF | www.gscf.com
GSCF is the leading global provider of working capital solutions. The company empowers companies and their financial institution partners to accelerate growth, unlock liquidity and manage the risk and complexity of the end-to-end working capital cycle. GSCF’s innovative Working Capital-as-a-Service offering combines the power of an end-to-end connected capital technology platform with expert managed services and alternative capital solutions.
GSCF’s team of working capital experts operates in over 75 countries, offering a truly global and holistic perspective to solve working capital efficiency challenges.
Visit http://www.gscf.com to learn more.
The Role
We are expanding and elevating our data solutions, and we’re looking for a highly skilled Data Engineer to join our growing team in Budapest (Internal team, no outsourcing, no consultancy model).
This is a hands-on, high-impact role where you will design, build, and operate scalable data platform, data warehousing, lakehouse and AI solutions that power decision‑making and client-facing data products across the entire company.
Our Data team is fully internal, co‑located in Budapest, and works closely with Product, Operations, Finance, Engineering, and leadership. You won’t be siloed; you will be part of a core function that supports the whole business. To succeed here, technical excellence is only half the story, the other half is developing a strong understanding of how our business works and how data can drive our strategy.
If you enjoy ownership, solving complex data challenges, and shaping a modern data ecosystem, we’d love to hear from you.
How You Will Make an Impact:
Modelling & Pipelines
Design and implement data models aligned with industry best practices
Build, and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end‑to‑end
Create and own robust ELT pipelines connecting multiple internal and external data sources
Contribute to architectural decisions and bring senior-level technical depth
Track, structure, and maintain key business metrics and KPIs
Governance & Quality
Build and maintain governance processes: data lineage, metadata, quality monitoring
Implement automated data quality checks, validation, and testing
Define and enforce data standards, naming conventions, and documentation practices
Collaboration & Leadership
Partner with Product, Operations, Finance, and other teams to understand data needs
Mentor and guide team members to elevate engineering standards
Translate business requirements into robust technical solutions
Ensure compliance with data governance, privacy, and security standards
Drive adoption of best practices across the organization
What You Bring to the Team:
Required Experience
5+ years of hands-on SQL experience (analytical queries, performance tuning)
3+ years of designing and operating large-scale data warehouse systems
Strong knowledge of data modeling: dimensional modeling, schema design, architecture patterns
3+ years of experience with a major cloud provider (AWS / Azure / GCP)
Experience with orchestration tools (Airflow, Dagster, etc.)
5+ years of real programming experience (e.g., Python, Java, Scala)
Experience with modern cloud data platforms: Snowflake, Redshift, Databricks, BigQuery
Preferred Experience
Deep dbt experience (modeling, testing, CI/CD, performance tuning)
Hands-on experience integrating dbt with orchestration tools and cloud workflows
Nice to Have
Ability to understand the business and translate needs into solutions
Snowflake expertise (data loading, table design, permission models, DDL/DML, views)
Experience building AI-ready data solutions for both human users and AI agents.
Experience with BI tools (Power BI, Tableau, etc.; DAX, Power Query)
Infrastructure as code (Terraform, AWS CDK, KDE)
Streaming/Kafka experience (event driven architectures, real time data pipelines, schema design, and operating streaming systems at scale)
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.
Privacy Notice
Please note that your personal data will be processed in accordance with GSCF Privacy Notice for Job Candidates. When submitting your application, you therefore acknowledge and confirm that you understand that your personal data will be processed in accordance with the above-mentioned Privacy Notice. Should you have any questions regarding the processing of your personal data by GSCF, please contact us at: privacy@gscf.com.
*Please note: Internally, this position is referred to as Senior Software Engineer - Data & Funding.

Employment type
Full-Time

Work arrangement
No