Senior Data Engineer (f/m/d)

We maximize product availability with minimal cashflow investment in 1/10 of the time. We solve a real problem for SMEs. With AI.

The problem we solve: Mid-size Shopify brands lose revenue and cash to stockouts and inefficiencies every day. They can see the problem. They can't fix it fast enough.

What VOIDS does: VOIDS is the AI brain for mid-size Shopify brands. We forecast demand at the product level, catch stockouts and inefficiencies before they happen, and tell e-commerce teams exactly what to do — or execute it automatically with a click.

The result: 98% inventory efficiency. 20x ROI. Six-figure cash unlocked. Within weeks.

Traction: Launched June 2023. Since then: 300% growth, 1B+ data points processed, €2M ARR, 50+ brands live — including Hyrox, 6pm, Creamyfabrics, and NatureHeart. Now targeting €10M ARR by 2027.

Where we're going: Today we own demand forecasting and stock management. Tomorrow: fully autonomous AI-driven procurement. We're not building features — we're rebuilding how modern commerce operates.

Why join now: We're a small, fast team where every hire shapes the company's trajectory. You'll work directly with Jannik and Tobias - two founders who live and breathe e-commerce and AI - and own how we ingest, process, and activate 1B+ data points across our platform. This isn't a maintenance role. You'll build the data foundation for a fully AI-driven future.

With high autonomy. At real data scale. With real impact.

Tasks

As a Senior Data Engineer, you'll own the backbone of our product: scalable, robust data pipelines that power our web app, machine learning models, and optimization algorithms. Your role is pivotal—every aspect of VOIDS depends on clean, organized, and reliable data.

Our data pipelines already handle over €1,000,000,000 in yearly revenue flowing through customer transactions. Your mission is to build and continuously refine efficient data workflows that seamlessly support complex analytics, accurate forecasting, and agile product development. You'll thrive in complexity, transforming massive transactional datasets into actionable insights for diverse e-commerce brands. Specifically, you will:

• Efficiently source, process, and structure diverse datasets—such as transactional, behavioral, product, and marketing data—into clean, actionable formats for our AI models, optimization algorithms, and software engineering teams.
• Ensure data reliability, cleanliness, and timeliness, proactively identifying and addressing bottlenecks or inconsistencies.
• Deeply understand the product, customer problems, and data specifics to proactively identify, anticipate, and resolve data-related issues.
• Act as the first point of action for new data needs, rapidly delivering solutions that enable the rest of the team to iterate fast