Forward Deployed Engineer (API & Data)

As a Forward Deployed Engineer (API and Data), you own the data backbone of every deployment: getting client data into Holon reliably, and getting Holon’s decisions back out into the systems that execute them. You build the integrations, pipelines, and APIs that turn a client’s operational reality into a live, orchestrated decision system.

Data integration is the prerequisite for everything Holon does. A pilot only proves value when it runs on the client’s live data rather than an offline snapshot, so the quality, freshness, and reliability of these data flows directly determine whether a deployment succeeds within its timeline.

What you’ll build

Data integration and ingestion

• Build and operate the pipelines that bring client operational data into Holon
• Integrate with client data platforms such as Snowflake, Microsoft Fabric, and Databricks, as well as ERP, WMS, MES, and TMS systems
• Model and maintain the company state, the structured representation of the client’s operations that the orchestration engine plans against
• Ensure data quality, validation, and observability so decisions rest on trustworthy inputs

APIs and data contracts

• Design and build the APIs that move data in and decisions out, with clear contracts and versioning
• Make integrations repeatable across clients, reducing time-to-value for every new deployment
• Handle authentication, security, and access in line with EU-sovereign, white-box principles

Production reliability

• Build pipelines that are robust, monitored, and maintainable in production
• Contribute to testing, documentation, and alerting so live deployments stay healthy
• Work with Cloud and DevOps engineers to deploy and scale integrations

Working closely with clients and the team

• Partner with Deployment Strategists, Optimization engineers, and client data and IT teams to scope and unblock integrations early
• Help clients prepare their data before a pilot starts, so the timeline holds
• Communicate constraints and trade-offs clearly; feed learnings back into Holon and the Superlinear Playbook

Do you have experience in Warehouse management system?, Do you have a Master’s degree?, * 4+ years in data engineering, backend or integration engineering, or platform engineering

• Proven experience building production data pipelines and APIs in complex environments
• Experience integrating with enterprise systems and/or modern data platforms (Snowflake, Fabric, Databricks)

Technical skills that matter

• Strong Python and SQL with solid software engineering fundamentals (clean, tested, maintainable code)
• Experience with data modelling, ETL/ELT, and API design (REST and similar)
• Familiarity with cloud infrastructure, containers, and CI/CD
• Comfortable reasoning about data quality, security, and observability
• Comfortable across a modern backend and data stack: Python and FastAPI with OpenAPI-documented services, Postgres, message queues and blob storage (Azure Service Bus, Azure Blob Storage), and observability with OpenTelemetry, deployed on Azure with Terraform. Equivalent experience counts too (e.g. Litestar, AWS SQS/S3, Pulumi).

Mindset & approach

• Ownership-driven: you take responsibility for systems, not just tasks
• Pragmatic: focused on reliable, real-world integration over theoretical elegance
• Clear communicator across technical and non-technical stakeholders
• Curious about how enterprises operate and how their data reflects that

Pulled from the full job description

• Internet reimbursement
• Eco vouchers, * Impact: Build the data backbone of decision systems running in Europe’s most critical enterprises
• Ownership: Real responsibility for the integrations that make or break a deployment
• Growth: A strong learning curve and a clear path to broader technical influence
• Collaboration: Work closely with a tight-knit team in our Brussels office (next to Central Station)
• Compensation: Competitive salary
• Benefits: Comprehensive health insurance, group insurance, meal and eco vouchers, full transportation coverage, internet allowance, and additional Superlinear holidays
• Tools: MacBook Pro and modern data, ai and cloud tooling
• Culture: A team driven by ownership, meritocracy, and integrity