Technical Onboarding Engineer - IFS Logistics

About the role

IFS Logistics helps enterprise shippers connect transport data, manage carrier spend and automate execution. The company is hiring two Tech Onboarding Engineers for six-month fixed-term roles, starting as soon as possible. You will connect carriers and providers, bring customer data into the platform and help named customers reach production while the core squads build longer-term foundations. The work is hands-on integration engineering, dealing with ERP exports, shipment files, invoices, APIs and third-party feeds.

Key responsibilities

• Connect new carriers and providers through APIs and file feeds, including credentials, testing and go-live support.
• Map, clean and validate customer ERP exports, shipment files and invoices into the data model.
• Own onboarding tasks for named customers against clear delivery dates.
• Support the Product Operations team with customer onboarding and master data management.
• Diagnose failures involving authentication, pagination, rate limits, schema changes and poor source data.
• Turn repeated manual steps into reusable templates, configuration or self-service tooling.
• Document integrations and failure modes so the core squads can support them after the contract ends.

Required profile

• Around two to five years of hands-on software or integration engineering experience.
• Experience with REST APIs, authentication, pagination, retries and rate limits.
• Confidence working with inconsistent third-party data, including missing fields, changing schemas and bad encodings.
• Track record of automating repeated work.
• Ability to run a technical working session with a customer's team and communicate data problems clearly.
• Regular use of AI coding tools such as Cursor or Claude, with a reliable process for checking output.
• Ability to organise your own work and become productive quickly in a time-boxed engagement.

Required skills

• Python and enough SQL to investigate data properly.
• Nice to have: logistics, freight, parcel or supply-chain data experience; BigQuery, dbt or comparable data-warehouse tooling; EDI or carrier and 3PL integrations; previous onboarding or implementation engineering in a SaaS company.

The tech stack used is Python and Django REST, TypeScript, Node and React; BigQuery, dbt, Cube Cloud and Superset; Pub/Sub and Datastream; GCP, Kubernetes, Terraform and GitLab CI/CD. The company offers flexibility and hybrid work opportunities.