Hybrid Data Engineer for Logistics Data Platform

IFS; Nunspeet; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

IFS is seeking a Data Engineer to help build and operate the Data Connect platform, a unified logistics data layer powering our AI-driven Transport Planning & Shipper TMS. This hands-on, IC role sits under the Lead Data Engineer, with opportunities to grow ownership over time.

You will own ingestion pipelines, data quality, APIs, and collaboration with Data Scientists and Software Engineers, while following team standards.

Qualifications

• ~2 years' production experience as a Data Engineer or in a closely adjacent backend/data role.
• Strong in SQL, comfortable with dimensional data modelling (Kimball star schema).
• Strong in Python, including unit testing, functional testing and data quality checks.
• Experience with a cloud data platform (BigQuery, Snowflake or similar) and an ELT tool such as dbt.
• Experience with BI tools (Superset, Looker, Power BI).
• Experience building APIs and comfortable reading Django or FastAPI source code.
• Understands schema evolution, partitioning and incremental loads.
• Familiar with streaming/event tooling (Pub/Sub, Kafka, Datastream or similar).
• Uses version control properly (GitHub/GitLab) and writes tests for pipeline logic.
• Comfortable using LLMs and AI coding tools for rapid debugging and prototyping.

Responsibilities

• Pipelines and ingestion — build and maintain ETL/ELT pipelines that turn carrier, shipment, invoice and ERP data into the canonical Data Connect model; work on document data extraction (OCR/parsing for airway bills, POs, commercial invoices); extend carrier and ERP integrations and help onboard new data sources; implement data contract checks, validation and reconciliation so downstream teams can trust what they consume
• Platform and data quality — keep the pipelines you own within their performance and quality SLAs; when something breaks in your area, you can typically run it down in a couple of hours, not days; contribute to dimensional models (star/snowflake schemas) to a design set by a senior/lead; follow the team's standards for testing, version control and observability
• Collaboration — work closely with the Lead Data Engineer, Data Scientists and Software Engineers on pipeline design; document what you build so analysts across Product, Data Science and Customer Success can self-serve rather than asking you

Job description

IFS is seeking a Data Engineer to help build and operate the Data Connect platform, a unified logistics data layer powering our AI-driven Transport Planning & Shipper TMS. This hands-on, IC role sits under the Lead Data Engineer, with opportunities to grow ownership over time.

You will own ingestion pipelines, data quality, APIs, and collaboration with Data Scientists and Software Engineers, while following team standards.