Data Engineering Intern: Build Reliable Pipelines

Hunkemöller B.V.; Netherlands; Hybrid; EUR 4,600 - 5,500; Full time

Benefits offered by this job

Internship allowance 450€ per month

Travel allowance 11.50€ per day

Staff discount 25%

Company laptop

WFH up to 3 days per week

Job summary

Hunkemöller B.V. offers a Best Internship in Retail (BIIR) program starting February 2027. You will join 50+ interns to design, build and optimize data pipelines, transforming raw data into reliable datasets for analysis and reporting.

You will collaborate with data engineers, BI specialists and stakeholders while learning modern data engineering practices in a real business environment. The role supports a hybrid work model with internship allowances and travel perks.

Qualifications

• You have a foundation in SQL and are keen to use it for exploring, validating and transforming data.
• You have some experience with, or an interest in learning, Python or similar scripting languages.
• You are curious about data pipelines, data modelling, cloud data platforms, automation or data governance.

Responsibilities

• Help design, build and improve automated data pipelines that collect data from sources and make it available for analysis and reporting.
• Develop and maintain data transformations that convert raw data into clean datasets.
• Perform data validation and implement data quality checks to identify missing or inconsistent data.
• Support monitoring and alerting for data pipelines to detect failures and anomalies.
• Investigate data issues, identify root causes and contribute to sustainable solutions.
• Document datasets, data flows, and technical processes to improve discovery and maintainability.

Skills

SQL

Python

Data pipelines

Data governance

Data modelling

Education

Bachelor's or Master's in Data Engineering/CS/DS/IM

Job description

Hunkemöller B.V. offers a Best Internship in Retail (BIIR) program starting February 2027. You will join 50+ interns to design, build and optimize data pipelines, transforming raw data into reliable datasets for analysis and reporting.

You will collaborate with data engineers, BI specialists and stakeholders while learning modern data engineering practices in a real business environment. The role supports a hybrid work model with internship allowances and travel perks.