Job
In this role, you will own the reliability of our data infrastructure, design, implement, and maintain tailored integrations and scalable data pipelines using AI tools.
Job technologies
Your role in the team
- You'll own the reliability and growth of our data infrastructure end-to-end. This isn't a ticket-execution role - you'll identify problems, design solutions, and ship them yourself.
- Expand our data connector ecosystem far beyond Shopify and Amazon, paving the way for complete AI-driven custom integrations.
- Evaluate, implement, and maintain new data sources in a way that works with existing flows - system stability and customization tolerance are non-negotiable.
- Work closely with customers to understand their data sources, requirements, and edge cases - you are the first technical contact when it comes to what data goes into our system.
- Communicate fluently in German and English - with customers during onboarding and pilot projects, and async with the internal team.
- Act as a bridge between customer needs and technical implementation, translating real-world data messiness into clean, reliable pipelines.
- Understand the e-commerce space intuitively - Suggest solutions to customers and implemented them before the customers even asks for it.
- Take ownership of our Bronze Silver Gold medallion architecture: the logic between layers needs to be airtight, well-documented, and consistent.
- Scale the pipelines to new heights: More data, faster pipelines, less costs. You need to find abstraction layer that allow to scale across multiple customer with very unique requirements.
- Improve Developer Experience: Enable fast iterations cycles and smooth developer experience when working with existing systems or building new things on top.
- Fully embrace AI tooling - not just as a productivity booster, but as a core part of how you work: delegate end-to-end workflows (testing, development, staging, production) to AI agents where possible.
- Build and maintain AI-driven pipelines that can handle deep customization without system failures - the architecture must be robust enough that AI-generated changes don't break production.
- Push the limits of what's achievable by combining your engineering judgment with AI automation. 10x yourself every year.
- Own the full development lifecycle: testing development staging production, with automated checks at every layer.
- Set up and maintain robust testing environments and DataOps/MLOps workflows to enable rapid iteration.
- Proactively identify bottlenecks, inconsistencies, and schema drift - and fix them before they reach downstream consumers.
Our expectations of you
Qualifications
- Fluent German and English - both written and spoken (customer-facing communication required).
- Deep proficiency in SQL and PostgreSQL for structured data.
- 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).
- End-to-end expertise in designing and operating scalable data platforms, including storage (S3/Parquet), data pipelines, APIs, and connectors, with a strong grasp of layered data architectures.
- Strong understanding of medallion / layered data architecture - and the ability to fix one that isn't working properly.
- Daily, fluent use of AI tools - you actively delegate end-to-end workflows to AI: from testing and development through to staging and production. AI is not a helper tool; it's how you multiply your output.
- Strong product intuition and understanding with a proactive, ownership-oriented mindset.
- Comfortable with ambiguity, autonomous decision-making, and direct customer contact.
Experience
- 3+ years of experience in Data Engineering or closely related roles.
- 3+ years experience in Python, particularly with data manipulation libraries (Pandas, Polars) for efficient data processing.
- Hands-on experience building and maintaining scalable streaming, event-driven and batch data pipelines and workflows as inputs for web applications and AI models.
What we offer
- Permanent full-time contract (no B2B).
- Competitive salary (€90,000-€110,000).
- Equity available for senior hires.
- 30 days paid vacation.
- All AI subscriptions with unlimited usage you want.
- 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.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
VOIDS Technology GmbH, a software company based in Hamburg, specializes in B2B SaaS solutions for e-commerce and retail brands. The company provides services in demand forecasting, inventory management, and the automation of purchasing and supply chain processes. With a focus on AI-driven data models, VOIDS particularly targets medium-sized brands.
- Startup
- Hybrid, Onsite
- Internet, IT, Telecommunication
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