Data Engineer

Orbisk | Zero Food Waste

Utrecht

Hybrid

EUR 55,800 - 66,960

Full time

14 days+

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Benefits offered by this job

€5.000 - €6.000 month ex. holiday allowance

32-40 hour work week in hybrid office

30 days of annual leave

7% pension contribution

Flexible spending budget of €40 per month

Annual personal education budget of €500

Home office budget of €250

Regular company activities

Job summary

A sustainability-focused tech company is seeking a mid-senior level Data Engineer to build and manage data infrastructure aimed at reducing food waste. The ideal candidate will have 6+ years of experience, proficiency in Python and SQL, and will work closely with teams to create data-driven solutions. This role offers a competitive salary, flexible working hours, and a commitment to personal growth and sustainability.

Qualifications

6+ years of relevant experience in data engineering.
Experience with building and deploying data pipelines.
Familiarity with Google Cloud Platform for data orchestration.

Responsibilities

Build and maintain the core data pipeline infrastructure.
Transform data generated by AI monitoring system into actionable insights.
Collaborate with AI specialists, data analysts, and software teams.

Skills

Python

SQL

Data Engineering

GCP

Apache Beam

Education

Computer Science or similar background

Tools

Terraform

Dataform

Job description

Overview

Join to apply for the Data Engineer role at Orbisk | Zero Food Waste

At Orbisk, we’re on a mission to create a world where zero food waste isn’t just a dream—it’s a reality. We combine cutting-edge tech with a sustainability-first mindset to help the hospitality industry make smarter, greener choices. As a proud B-Corp, we’re leading the way in the fight against food waste, and our results speak volumes: over 1.987.072 kg of food waste eliminated in 42+ countries (and counting!). We don’t just offer technology; we’re a trusted partner to our customers, working alongside them to create lasting change. Through innovation and listening closely to their needs, we’ve built a solution that drives both environmental and business success. With our team growing rapidly, we’re looking for a Data Engineer to help us build the future—one that’s greener, smarter, and waste-free.

What’s on the menu?

As our new Data Engineer, you'll be the architect of our data infrastructure, building on the work of our current data engineer returning later this year. Your mission would be to tame the torrent of data generated by our AI-powered food waste monitoring system and transform it into actionable insights. You'll be hands-on, creating and deploying near real-time data pipelines that feed our AI and empower our customers to fight food waste.

This role is more than just pipelines and code; it's about leading the charge in our data-driven fight against food waste. As you dive deeper, you'll find yourself collaborating with a passionate team of AI specialists, data analysts, and developers. Together, you'll ensure our data pipelines are seamlessly integrated with our AI, empowering it to deliver even more accurate and insightful food waste analysis. You'll work alongside our software team to support our projects and support our AI and Data Analyst teams, ensuring Orbisk remains at the forefront of data innovation in the hospitality industry.

But it doesn’t stop there. You'll also be the go-to data expert for our customers, working closely with Sales Managers and customer counterparts to tailor data solutions to their unique needs. You'll be coding in Python, SQL, Dataform, and Terraform, building robust and scalable solutions that meet the demands of our growing customer base.

The key ingredients for success:

A Computer Science (or similar) background and 6+ years of relevant experience
Build and maintain our core data pipeline infrastructure to support our product offerings
Build and support ingesting from internal and external sources into the pipeline
Design and manage data storage, processing, and orchestration on GCP, ensuring reliability, security, and scalability
Work directly as part of our Software team, as food waste data is how we help our clients every day
Work closely with our AI team to support our AI pipeline
Work closely in support of our Data Analysis team to provide them necessary structural information in the pipeline

An added plus if you have experience with:

Exposure to Apache Beam, Python, SQL, Google Cloud Platform, and containerization.
Successfully built robust data foundations from scratch in previous roles.
Skill at building and deploying (near) real time pipelines.
API management chops – you’re no stranger to data warehousing/integration and ELT. Indeed our transformations happen mainly after loading into BigQuery
Passion for pioneering, taking (calculated) risks, and sharing successes and setbacks as a team.

Why join Orbisk?

There are plenty of good reasons. Some are big—like making a real impact by reducing food waste and cutting CO2 and water footprints worldwide. Others are more personal—joining a fast-growing scale-up is exciting, full of opportunities, and yes, a great story to share. Plus, you’ll be part of a team that’s driven, innovative, and just a little adventurous. And of course, we’ve got some great perks to offer too:

€5.000 - €6.000 month ex. holiday allowance (depending on knowledge and experience).
32-40 hour work week in a hybrid office setting, lunch included.
To take a break to recharge, we encourage you to take 30 days of annual leave per year (based on full time).
To ensure you are taken care of later on, we have a pension contribution of 7%.
Everyone has different needs when it comes to benefits. That’s why we offer you a flexible spending budget of € 40 per month.
To support your learning and growth, we offer an annual personal education budget of €500. But we also organize additional team learning activities and if needed provide access to career coaches.
An annual home office budget of €250 is offered, so you can create a nice work from home space, as well as a travel allowance for when you work from home.
We make sure we regularly organize company activities to connect and have fun with your colleagues.

Seniority level