(DE-required) Customer Data / Integration Engineer (m/f/d)

About Us

Flowzar is an early-stage FinTech Agent startup building Flow - a digital finance employee that works alongside CFOs, Treasury, and finance teams. Flow combines agentic AI reasoning with deep financial process expertise to execute real operational finance work within a company's specific context and boundaries.

Our mission is to make the Office of the CFO more strategic by enabling better financial decision-making and smoother downstream execution. Better decisions come from greater transparency, higher efficiency, and more precise financial reasoning. Flow doesn't just produce forecast numbers - it explains the 'why' behind them by tracing assumptions, data sources, and financial logic, giving finance teams confidence to act and align stakeholders.

The Role

As a Customer Data Integration Engineer, you own the technical and analytical onboarding of new customers. You work hands-on with real financial data to help customers experience the value of Flow using their own numbers and context.

You set up customer environments, deeply analyze and interpret financial data from ERP systems, banks, and planning tools, and translate this data into our agentic ledger. During pilot phases, you combine manual data work, analysis, and scripting to iteratively build repeatable ingestion pipelines. Over time, you turn one-off integrations into automated, reliable processes.

This is a customer-facing, forward-deployed engineering role across multiple customers. You stay involved beyond the pilot, supporting adoption and automation until data ingestion runs hands-off-the-wheel.

What You'll Do

• Work directly with customers to analyze, interpret, and map financial data (ERP exports, bank statements, planning files) into our agentic data model.
• Dive deep into numbers to understand data meaning, inconsistencies, patterns, and outliers, clarifying details together with customers.
• Create data quality reports, visualizations, scripts, and automations that turn manual translation work into repeatable ingestion processes.
• Support customers through onboarding, pilot, and adoption, helping transition from semi-manual ingestion to fully automated pipelines.
• Set up and manage dedicated AWS environments per customer, including infrastructure, access boundaries, and deployment pipelines.

What We're Looking For

• Strong hands-on experience with Python and common data processing and analytics libraries, paired with the ability to deeply understand and work with messy, real-world data.
• A hands-on, pragmatic mindset with the ability to make it happen in customer settings - collaborating with customer IT teams, setting up custom servers, data endpoints, or interfaces as needed.
• Familiarity with financial systems and workflows (e.g. SAP S/4HANA, AP/AR, Treasury) is a plus. Comfortable translating financial data into meaningful, explainable structures.
• Experience working with AWS, CI/CD pipelines (e.g. GitHub Actions), and infrastructure-as-code (e.g. CDK), including setting up and operating customer-specific environments.
• Fluent German (spoken and written) is required, and this role is based in Munich or Heilbronn with 40%+ on-site presence and light travel to customer sites (~2 hotel nights per month).