Data Integration Engineer

@ Quiver

Our Journey 🎯

At Quiver, we're making advanced forecasting and inventory management accessible for small and medium-sized merchants. We transform tedious Excel-based processes into automated, easy-to-start SaaS solutions for inventory planning.

About You 🧑‍💻

You are passionate about deep diving into large amounts of data and structuring it for analysis. You will work on manual mapping, data filtering, and automation of integration tools, reducing the IT burden for customers.

Your Main Responsibilities

• Investigate and understand customers' ERP data with supply chain experts.
• Develop customer-specific data integrations using SQL and extraction tools.
• Create internal tooling for data loads.
• Collaborate with the CTO and engineers on architectural decisions.
• Co-create and prioritize the engineering roadmap.
• Coach future tech-employees.
• Participate in building team culture in our Copenhagen office.

Qualifications

• Experience working with data and software development.
• Master's degree or equivalent practical skill set.
• Proficiency in SQL; experience with dbt or Python is a plus.
• Experience with ERP or sales data is beneficial.
• Familiarity with technologies such as dbt, Python, Kubernetes, ETL, Data Warehousing, Machine Learning, and Celery.
• Danish language skills are an advantage for handling local data.

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 (approximately €5-6k monthly)
• Professional learning and development benefits
• Possible Equity (0-0.5%)
• Company off-site per year and various social events

Why Us 🚀

• Join an experienced, founder-led team with over 10 years post-master experience.
• Opportunity to build the company and team from the ground up.
• Direct interaction with co-founders and a small, agile team.
• High level of autonomy in your work.
• Strong traction from customers and investors.

Interview Process 👥

• Screening (15 mins phone call)
• Introduction interview (60 mins on-site)
• Technical interview (1-2 hrs on-site)
• Contract & Hiring

Key skills/competency

• Data Integration
• SQL
• Python
• ERP Data
• ETL
• Data Warehousing
• Automation
• dbt
• Kubernetes
• Team Collaboration