Data Engineer

Our data is absolute garbage.

And we think you’ll absolutely love it.

Our data is garbage. To be more precise, we analyze and reduce food waste in the hospitality industry. Our algorithms throw themselves on leftovers to determine what ingredients remain untouched, when, and in what quantity. Food for actionable thought because if we – for example – discover that guests aren’t into tomatoes but devour every last spec of avocado, restaurateurs can source smarter, reducing food waste and costs. How that works in practice? Waiters quickly scan cleared plates at Orbi hardware stations, and the embedded AI crunches away. We’ve already helped eliminate a whopping 430,000 kg of food waste, and we’re just getting started!

As our Data Engineer, you help mature algorithms and streamline the data flows that drive our Orbi’s. A key role because you contribute directly to the ‘intelligence’ of the solution. And while Orbi is already a culinary connoisseur, there are lots of challenges to sink your teeth into. Orbi still struggles to recognize certain products and might confidently (but incorrectly) conclude they’re dairy. How can we fix that? Given the real-world impact – reducing waste AND cost – we expect you to combine coding prowess with a QA mindset: you test ‘till perfection. Important, because we want client dashboards to be ridiculously informative and instantly actionable. In practice, the role boils down to 25% change management and 75% conceptualizing and coding new & improved features. An important journey, that you’ll share with knowledgeable and collaborative colleagues, including fellow Data Engineers and Data Scientists.

The role in 7 bullets

• Streamline internal and external data flows to support and enhance data infrastructures.
• Collaborate closely with AI, data, and developer teams to deploy new data pipelines.
• Accelerate AI and data development while minimizing developer workload.
• Consult with customer counterparts and Sales Managers to customize data solutions.
• Engage in technical tasks, such as coding in Python, SQL, and Terraform.
• Participate in technical and project sync meetings.
• Liaise with Customer Success and Sales Managers to meet individual client data requirements.

Your track record mentions

• A Computer Science (or similar) background and 4+ years of relevant experience.
• Skill at building and deploying pipelines and ability to process data like a boss.
• Familiarity with Apache Beam, Python, SQL, cloud platforms, and containerization.
• API management chops – you’re no stranger to data warehousing/integration and ETL.
• A keen interest or (better yet!) experience in deploying machine learning models.
• Passion for pioneering, taking (calculated) risks, and sharing successes and setbacks as a team.
• The drive to use data science to make a positive impact.

Why join Orbisk?

For a whole menu of reasons. Some lofty (reducing food waste also reduces our collective CO2 and H2O footprints), others more down-to-earth. After all, joining a scale-up that disrupts an entire industry is also plain fun. And a great conversation starter. Especially if that team is as driven and adventurous as ours. We also offer you:

• €4.500 - €5.500 gross p/m (depending on knowledge and experience)
• Pension scheme and 30 paid vacation days (based on 40 hours per week)
• Company laptop and €250 netto home office budget per year
• Education budget, fitness budget and travel allowance
• Free office lunch and an office dog to keep you company
• An office based in Utrecht and option to work partly remote
• A young and creative startup work environment that invests in your development
• A close-knit team with smart, enthusiastic colleagues who are happy to share their expertise with you. And on fridays, a beer or two.

Get to know us
We can’t wait to tell you more about our plans. Reach out by clicking on that apply button or contact Mak Zivkovic via Whatsapp +31618609889.

Soort dienstverband: Fulltime, Vaste baan

Salaris: €4.500,00 - €5.500,00 per maand

Flexibele taalvereiste:

• Nederlands niet vereist

Rooster:

• Flexibele werkuren
• ma-vr

Secundaire arbeidsvoorwaarden:

• Bedrijfsfeesten
• Bedrijfsfitness
• Budget voor professionele ontwikkeling
• Extra vakantiedagen
• Gezondheidsprogramma
• Kosteloos parkeren
• Lunchkorting
• Mogelijkheid tot promotie
• Pensioen
• Reiskostenvergoeding
• Vrijdagmiddagborrel
• Werk vanuit huis

Soorten aanvullende vergoedingen:

• Vakantiegeld

Taal:

• Nederlands (Gewenst)
• Engels (Gewenst)

Toestemming om te werken:

• Netherlands (Vereist)

Werklocatie: Hybride werken in 3526 KM Utrecht