Data Engineer

TechForce; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Bonus potential

Paid time off

Parental leave

Professional development

Flexible hours

Remote work options

Job summary

TechForce is seeking a Data Engineer to build and maintain the data infrastructure that powers data-driven decision making. You will design, develop, and optimize scalable data pipelines and architectures to enable efficient data collection, processing, and storage.

You will collaborate with data scientists, analysts, and product teams to ensure data quality and availability, automate workflows, and improve platform performance, with flexible hours and remote work options.

Qualifications

• Proven experience designing robust data pipelines and ETL processes.
• Strong SQL and data warehousing skills.
• Experience with Spark and Hadoop.
• Cloud platform experience (AWS, GCP, Azure).
• Programming in Python, Scala, or Java.
• Ability to communicate complex data concepts to cross-functional teams.

Responsibilities

• Design, develop, and optimize scalable data pipelines and architectures.
• Collaborate with data scientists and product teams to ensure data quality.
• Automate workflows and improve data infrastructure reliability.

Skills

Data pipelines

SQL

Big data tools

Cloud platforms

Python/Scala/Java

Cross-functional teamwork

Tools

Apache Spark

Hadoop

AWS

GCP

Azure

Job description

We are a leading online marketplace specializing in peer-to-peer sales of secondhand fashion and lifestyle items. Our platform empowers millions of users worldwide to buy, sell, and discover unique products in a sustainable and community-driven environment. Committed to innovation and user experience, we continually strive to make circular fashion accessible, affordable, and enjoyable. Our core values emphasize sustainability, transparency, and collaboration, fostering a workplace culture that encourages creativity and impact.

What the job entails

As a Data Engineer, you will play a crucial role in building and maintaining the data infrastructure that supports our data-driven decision-making processes. Your primary responsibility will be to design, develop, and optimize scalable data pipelines and architectures that enable efficient data collection, processing, and storage. Collaborating closely with data scientists, analysts, and product teams, you will ensure the availability and reliability of high-quality data. This role demands a proactive approach to problem-solving and a focus on automation to streamline workflows, contributing directly to enhancing the platform’s performance and user experience.

Key requirements / What we look for

Proven experience in designing and implementing robust data pipelines and ETL processes

Strong proficiency with SQL and modern data warehousing technologies

Experience with big data tools and frameworks (e.g., Apache Spark, Hadoop)

Familiarity with cloud platforms and infrastructure (e.g., AWS, GCP, Azure)

Solid programming skills in Python, Scala, or Java

Ability to work collaboratively in cross-functional teams and communicate complex data concepts clearly

Competitive salary with performance-based bonuses

Generous paid time off and parental leave policies

Opportunities for professional development and continuous learning

Flexible working hours and remote work options available