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

VOIDS is the leading forecasting and inventory management software solution for D2C brands. The VOIDS platform automates accurate product-level demand forecasting to proactively identify risks such as inventory inefficiencies (e.g., out-of-stocks) and take recommended actions to eliminate them before they occur. We help e-commerce brands achieve 98% inventory efficiency, 20x ROI, and six-figure cash profits in a matter of weeks. 50+ success stories, including FC Bayern, 6pm, Rosental, and Blackroll confirm this. Since our product launch in June 2023, we’ve achieved approximately 300% growth over the past year, and we’re now positioned to double our ARR by the end of 2025.

At VOIDS, you'll find a game-changing personal growth opportunity if you are driven, fast-paced, and passionate about challenging the status quo. Embrace the opportunity to take direct ownership of scaling our AI platform's success. Work alongside the team and co-founders Jannik and Tobias, who bring a wealth of experience in e-commerce growth and AI-based demand forecasting.

🛠 What you'll do

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 and independently.
• Collaborate closely with the CTO, data scientists, software engineers, and customer success teams to translate business requirements into robust data solutions.
• Continuously improve our data infrastructure, optimize workflows, and advocate for best practices across the engineering and data science teams.
• Actually get things done, deciding yourself what to focus on—without bureaucracy.

✅ Must-Have Skills

• Fluent English communication skills; German is a plus
• Clear, professional, asynchronous communication abilities
• 4+ years of experience in Data Engineering or related roles
• Proven 3+ years experience in Python, particularly with data manipulation libraries (Pandas, Polars) for efficient data processing
• Strong proficiency in reading, writing, and updating data in both structured (SQL databases, especially PostgreSQL) and unstructured (AWS S3, Parquet) storage solutions
• Hands-on experience building and maintaining scalable batch data pipelines and workflows as inputs for web applications and AI models (AWS Lambda, Airflow, MLflow, AWS SageMaker)
• Proven ability to set up and maintain robust testing environments, and manage efficient DataOps/MLOps workflows to enable rapid iteration
• Familiarity with infrastructure and containerization frameworks (Kubernetes, Docker, Terraform)
• Solid expertise in data storage solutions like AWS S3 (Parquet)
• Ability to design and implement clean, reliable, and efficient data processing pipelines and APIs
• Strong product intuition and understanding with a proactive, ownership-oriented mindset
• Comfort with ambiguity and autonomy in problem-solving

🌟 Bonus / Nice-to-Have

• Experience in B2B SaaS startups / scaleups
• Experience with eCommerce data sets and solutions (Shopify, Amazon Seller Central, Google Ads, Meta Ads, Klaviyo, Channable, etc.)
• Familiarity with scalable big data tools and frameworks (dbt, dask, Apache Spark, EMR, Databricks, AWS Glue)
• Familiarity or interest in Data Science workflows, especially related to time series forecasting (Nixtla, Darts, statsmodels, sktime)
• Experience with streaming data pipelines
• Contributions to developer experience, data observability, or internal tooling improvements

🧱 Tech Stack

• Programming: Python (Pandas, Polars), SQL
• Processing: AWS SageMaker, AWS Lambda
• Data Storage & Management: PostgreSQL, AWS S3 (Parquet), BigQuery
• ML Infrastructure: AWS SageMaker, AWS Lambda, MLflow
• Orchestration: Airflow on AWS
• Collaboration & AI Tools: GitHub Copilot, ChatGPT
• Containerization: Kubernetes (Airbyte hosting, for data sourcing)

Optional, if you're interested in expanding into data science tasks (full-stack mindset appreciated):

• Modeling & Analytics: Statistical, ML, and neural time series forecasting (Nixtla, statsmodels, XGBoost)

🎯 What Success Looks Like (First 3 Months)

• You’ve gained a solid understanding of the existing data pipelines and understand the data in depth
• You’ve shipped a larger new service / improvement that’s already in production
• You’ve found and delivered a technical improvement that made dev or user life better
• You’ve built first relationships with customers that boost feedback cycles
• Everyone in the team knows what you are doing, and you proactively support others

🤖 How We Work

• AI-driven productivity: We actively leverage Copilot, GPT-4, and other AI tools.
• Fast-paced, high-impact, no overhead: Short daily stand-ups (15min), efficient weekly planning (30min), autonomous decisions, ship daily
• Engineering culture & values: pragmatism, simplicity, maintainability & customer focused
• 50/50 Hybrid flexibility: Mix remote work with our inspiring office in Hamburgs city center
• Continuous learning: We trust your expertise, value your ideas, and encourage proactive growth
• Autonomous decision making: We trust engineers to own their work and loop others in when needed, typically there is only lightweight consultation with the CTO and engineers

🎁 What You’ll Get

• Permanent full-time contract (no B2B)
• Competitive salary (€90,000–€110,000)
• Equity available for senior hires
• 30 days paid vacation
• New Mac Book Pro & min. 2 Monitors in the office ;)
• Regular team events and quarterly off-sites
• Real ownership and influence
• A calm, focused work environment that rewards initiative
• Wellpass membership to unlimited fitness, yoga, swimming, climbing, and more

🧑‍🏫 Hiring Process

We move fast and keep it simple.

• Initial Screening (30 min)
• Technical Interview with CTO (30 min)
• Realistic Live Coding Challenge (90 min)
• Meet the Team in Hamburg
• Offer within 2 weeks from start to decision

👉 Send us your answers and your CV here or at jobs@voids.ai