Our Journey 🎯

At Quiver, we're making advanced forecasting and inventory management accessible for small and medium-sized merchants. With over 90% still relying on Excel—manual, error-prone, and lacking advanced optimization, leading to both waste of capital and over-production of unsold goods—we saw a need for change.

Since early 2023, we've been on a mission to transform this process. Our easy-to-use SaaS solution automates and enhances planning, freeing our customers from tedious tasks and offering advanced capabilities. We solve complex inventory problems, that requires working with complex rule sets, and large amounts of data - but our core value is that we do so without overloading the user with information - and instead care about an intuitive and easy-to-get-started platform.

In a short time we have launched our platform, gained paying customers, and secured funding - and we are currently onboarding new customers at our fastest pace ever. In combination with an ambitious expansion plan, this requires increasing our head count for multiple roles.

Join us as we innovate and redefine inventory management for merchants everywhere!

About you 🧑‍💻

Building software that can solve complicated planning processes is core to Quiver's mission. Often the barrier for companies to start using any solution like this, is that they imagine the integration as a huge IT project. Our opinion is that this can be done automatically to a large degree, using a mix of good tooling, standard API's, user-input and AI-assisted starting points.

However, getting there is a journey, and right now there is still a need for manual mapping and data filtering, depending on the customers internal setup.

To support those tasks we're looking for a Data Integration Engineer passionate about deep diving into large amounts of data, and structuring it so it's ready for analysis - as well as improving and automating the tools to do so.

You will be employee #7, joining a team of experienced tech and supply chain nerds. We enjoy working together in-person, and while we are fully flexible in terms of work-from-home days when needed, we meet in our Office in Copenhagen 90% of the days and expect a similar presence from you.

Your main responsibilities

• Investigating and understanding our customers ERP data, in collaboration with the their supply chain experts

• Development of our Customer Specific Data Integrations using SQL and data-extraction tools

• Developing our internal tooling for data loads (if your skills/interests match up)

• Architectural decisions in close collaboration with our CTO and other engineers

• Co-creating and prioritising the engineering roadmap

• Coaching and teaching future tech-employees

• Be part of building our team and culture in person with us in our office in Copenhagen

Qualifications

• Experience working with data and software development maybe full-time, maybe from building stuff besides your studies

• Master's degree in a relevant field (or a matching skill set from other experience)

• Experience with SQL - we are using dbt, so experience with that tool is a plus or at least some Python experience

• Experience working with ERP- and/or sales data is an advantage

• Experience with one or more of the following technologies is an advantage: dbt, Python, Kubernetes, ETL, Data warehousing, Machine Learning, Celery

• As most of our customers are Danish and have danish-named data, knowing danish is an advantage

Our stack 💻

• Backend: Python, Directus, Celery, Postgres, Cube.js

• Frontend: Vue, Nuxt, Typescript, Tailwind

• Infra: Kubernetes, Helm

• Data Integration: Airbyte, Prefect, Dbt

What we offer 🎁

• Competitive salary (€5-6k / 37-46tDKK pr month)

• Professional learning and development benefit

• Possibly Equity (0-0,5%)

• 1 company off-site per year

• Lunch, coffee, Friday bars, social events and much more!

Why us 🚀

• You will join an experienced team, founders have +10 years post masters-degree experience within their respective fields

• You will have the opportunity to be part of building Quiver as a business and team from the ground up

• You will work day-to-day directly with our co-founders and of course the software team that consists of 1x FE engineer, 1x BE engineer, 1x Data Engineer and a CTO.

• You will get a high level of autonomy over yourself and your work

• You will join a start-up that has strong traction from customers and investors alike

Interview process 👥

1. Screening (15 mins [Phone-call])

2. Introduction interview (60 mins [On-site])

3. Tech interview (1-2 hrs [On-site])

4. Contract & Hiring

If the above has sparked your interest, please do not hesitate to reach out!