Data Engineer (Business Financing sphere)

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Das ist der Job

**Role overview** Build and scale a Snowflake-centered data platform supporting business-financing operations.

Darum lohnt es sich

This is a hands‑on production data engineering role involving pipeline development, workflow migration, data modeling, and quality controls. **Responsibilities** • Build and maintain production data pipelines and reusable data products in Snowflake. • Develop transformation logic and data models with dbt, following governed engineering practices. • Convert existing Alteryx workflows into managed, production‑ready platform components. • Create and maintain orchestration workflows using Dagster, Airflow, or a comparable tool. • Validate outputs, investigate data or business‑logic discrepancies, and resolve transformation defects. • Implement data‑quality checks and monitoring while collaborating with analytics engineering, BI, and data governance peers. **Requirements** • At least four years of data engineering experience, including substantial hands‑on work with Snowflake. • Practical experience building with dbt and transforming modeled data in a production environment. • Experience with Dagster, Airflow, or another workflow orchestration platform. • Strong SQL and analytical data‑modeling skills. • Demonstrated ability to maintain reliable data pipelines and apply data‑quality or monitoring practices. • English proficiency at B2 level or higher, plus comfort using AI‑assisted development tools such as Cursor or similar software. **Nice to have** • Snowflake certification. • Substantial availability for collaboration during US Central Time hours, particularly from 2:00 PM Central Time onward. • Experience with Fivetran, MetricFlow, or LLM‑assisted engineering workflows. **Benefits and work setup** • Remote and hybrid work options are available. • Technical and non‑technical training, internal conferences, and expert‑led learning events. • Mentorship and support from an experienced colleague. • Health insurance, sports and wellness activities, and a referral program. • Work‑anniversary recognition and additional vacation days as employment tenure increases.

The initial delivery area is Treasury and Finance, with the platform expected to expand into additional domains over time.

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