Data Engineer, Logistics Data Platform (Hybrid)

IFS; Nederland; Hybrid; EUR 70,000 - 90,000; Full time

Job summary

IFS is hiring a Data Engineer to build and run the Data Connect platform, a unified logistics data layer used by Transport Planning & Optimization and Shipper TMS. You will own end-to-end pipelines, collaborate with data scientists and software engineers, and grow into more ownership under senior guidance.

The role emphasizes production experience, SQL/Python proficiency, cloud data platforms, and API/data-modeling skills, with a focus on data quality and observability.

Qualifications

• ≈2 years of production experience as a Data Engineer or similar backend/data role.
• Strong SQL and dimensional modelling knowledge (Kimball star schemas).
• Proficient Python, unit and data quality testing.
• Experience with cloud data platforms and ELT tools (dbt).
• Experience with BI tools (Superset, Looker, Power BI).
• Experience building APIs and reading Django or FastAPI code.
• Familiar with streaming tools (Pub/Sub, Kafka).
• Version control with GitHub/GitLab and testing of pipeline logic.
• Comfort using AI coding tools for rapid debugging.

Responsibilities

• Own and operate a defined slice of the data pipeline estate within SLAs.
• Build and ship ETL/ELT pipelines and data features on the roadmap.
• Collaborate with data scientists and software engineers on pipeline design.
• Document work to enable analysts to self-serve.

Skills

SQL

Python

Dimensional modelling

API development

Data quality checks

Git

LLMs AI tools

BigQuery

Snowflake

dbt

Looker

Power BI

Superset

Django/FastAPI

Kafka Pub/Sub

Tools

BigQuery

Snowflake

dbt

GitHub/GitLab

Terraform

Kubernetes

Looker/Power BI

Django/FastAPI

Job description

IFS is hiring a Data Engineer to build and run the Data Connect platform, a unified logistics data layer used by Transport Planning & Optimization and Shipper TMS. You will own end-to-end pipelines, collaborate with data scientists and software engineers, and grow into more ownership under senior guidance.

The role emphasizes production experience, SQL/Python proficiency, cloud data platforms, and API/data-modeling skills, with a focus on data quality and observability.