Job
In dieser Position übernimmst du die Verantwortung für die Zuverlässigkeit unserer Dateninfrastruktur, entwickelst, implementierst und wartest maßgeschneiderte Integrationen und skalierbare Datenpipelines unter Verwendung von KI-Tools.
Job-Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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
Gesundheit, Fitness & Fun
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Die VOIDS Technology GmbH, ein Softwareunternehmen aus Hamburg, hat sich auf B2B-SaaS-Lösungen für Marken im E-Commerce und Einzelhandel spezialisiert. Das Unternehmen bietet Dienstleistungen in den Bereichen Nachfrageprognosen, Bestandsmanagement sowie der Automatisierung von Einkaufs- und Lieferkettenprozessen an. Mit einem besonderen Augenmerk auf KI-gestützte Datenmodelle richtet sich VOIDS vor allem an mittelständische Marken.
- Startup
- Hybrid, Onsite
- Internet, IT, Telekom
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