Forward Deployed Engineer (f/m/d)

SPREAD AI; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

SPREAD AI is seeking a Forward Deployed Engineer in Berlin. You will work directly with customers to deliver tailored software solutions, improving their data integration and user experience.

The ideal candidate has over 4 years of experience, with strong skills in JavaScript, TypeScript, and SQL, along with excellent communication skills for customer interactions. This role involves both low-code and custom UI development.

You will have the opportunity to work in a dynamic environment, collaborating with various teams and stakeholders.

Qualifikationen

• 4+ years of engineering experience delivering software in real-world environments.
• Strong hands-on skills in JavaScript or TypeScript and React.
• Ability to write complex SQL confidently, including joins and aggregations.
• Practical understanding of ETL and data integration fundamentals.
• Comfort in customer-facing settings, good communication skills.

Aufgaben

• Partner with customer stakeholders to understand workflows, constraints, and goals.
• Build data mappings and integration flows with internal ETL tooling.
• Deliver user-facing solutions, both low-code and custom UI in TypeScript/React.
• Communicate progress and trade-offs clearly with relevant stakeholders.
• Travel occasionally to customer sites for discovery and alignment.

Kenntnisse

JavaScript

TypeScript

React

SQL

ETL

Tools

nextgen-xmap

GraphQL

Jobbeschreibung

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).