Forward Deployed Engineer (f/m/d)

Short Description

SPREAD builds AI-powered software that helps leading manufacturers like BMW, Mercedes, Volkswagen, Bosch, and Rheinmetall master the complexity of software-defined products. Our Engineering Intelligence Platform turns disconnected technical data into usable insights so engineering teams can bring products to market faster, more cost-efficiently, and with higher quality. Recognized with the SPARK AI Innovation Award (Handelsblatt & McKinsey, 2024) and listed among LinkedIn’s Top Startups DACH, SPREAD is one of Europe’s fastest-growing AI companies.

Role:
As a Forward Deployed Engineer, you deliver customer outcomes by turning real operational needs into working software on top of our platform. You will partner closely with customer teams to understand their processes and data landscape, shape a clear technical approach, and ship end-to-end solutions spanning data integration, domain modeling, and user-facing applications. You will report to our Head of Engineering, who will support you as a senior sparring partner for technical decisions, reviews, and escalation.

Your Mission

• Partner with customer stakeholders to understand workflows, constraints, and goals, then translate them into a clear technical plan.
• Identify relevant data sources across established system landscapes (ERP/MES/PLM, spreadsheets, databases), clarify access paths, and move from assumptions to usable inputs.
• Extend SPREAD’s info-model when needed (GraphQL schema), keeping solutions reusable beyond a single engagement.
• Build data mappings and integration flows with our internal ETL/mapping tooling (nextgen-xmap), turning cross-system references into maintainable pipelines.
• Deliver user-facing solutions in two ways, depending on what the situation needs:
  • Rapidly via low-code when speed is the best lever
  • Via custom UI in TypeScript/React when the use case calls for it
• Communicate progress and trade-offs clearly with Product, Value Realization, and Engineering. Surface risks early and ask for the right support.
• Travel occasionally to customer sites when it meaningfully improves discovery, alignment, or rollout.
• Package your outcomes so they can scale, including solid documentation, clean structure, and a handover-ready setup for engineering follow-through.

Your Experience

Must-have

• 4+ years of engineering experience delivering software in real-world environments, including ambiguity, constraints, and deadlines.
• Strong hands-on skills in JavaScript or TypeScript and React.
• Ability to write complex SQL confidently, including joins, aggregations, window functions, and performance-aware querying, to explore and validate enterprise data.
• Practical understanding of ETL and data integration fundamentals, including mapping, transformation, validation, and how source data becomes something a UI can rely on.
• Comfort in customer-facing settings: you listen well, ask sharp questions, and explain technical choices clearly to different audiences.
• Delivery mindset and ownership: you scope, iterate, and get to a working outcome.

Strong plus

• GraphQL experience, or the ability to pick it up quickly if you are strong in SQL and schema thinking.
• Exposure to low-code and AI tooling, and you genuinely enjoy building this way.
• Experience navigating established enterprise systems and complex data landscapes (SAP, Oracle, custom databases, multi-team ownership).

Why SPREAD?

• Build customer-facing solutions at an AI-first company where shipping value is the baseline, and where platform leverage grows with every successful delivery.
• Work at the intersection of product, engineering, and customer teams with the freedom to shape approach, scope, and implementation.
• Make measurable impact in complex enterprise environments, where integrated data and usable applications directly change how teams operate.
• Strong overall package including attractive compensation, mobility budget (Deutschlandticket), Urban Sports partnership, 30 vacation days, workation options, a volunteering day, and an annual learning budget.

Contact

Dmytro İefymenko

Köpenicker Str. 40c | 10179 Berlin

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