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Senior Cloud & Data Platform Engineer (f/m/d)
ONIQ GmbHGermanyRemotefull_timeVerifiedPosted 26 Jan 2026
About the role
ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With the IQA Lean Copilot, we are pioneering a new category in industrial tech - combining lean production principles with AI, process mining, and advanced data analytics. Our software empowers manufacturers to systematically identify inefficiencies, accelerate improvements, and scale operational excellence across their global production networks.
We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.As the Senior Cloud & Data Platform Engineer, you will scale our multi-cloud infrastructure and design our data platform strategy. You’ll have a direct impact on our cloud architecture, infrastructure roadmap, and data engineering approach as we scale to serve more Fortune 500 enterprises.
This is a hands-on, technical leadership role. You lead through expertise rather than hierarchy: you design, build, and operate key systems yourself, while also helping set the technical direction. You’ll work directly with our founding and senior development team to make critical build-vs-buy decisions, define our infrastructure evolution over the coming years, and establish the foundations that enable our platform and team to scale reliably.
Infrastructure & Architecture
We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.As the Senior Cloud & Data Platform Engineer, you will scale our multi-cloud infrastructure and design our data platform strategy. You’ll have a direct impact on our cloud architecture, infrastructure roadmap, and data engineering approach as we scale to serve more Fortune 500 enterprises.
This is a hands-on, technical leadership role. You lead through expertise rather than hierarchy: you design, build, and operate key systems yourself, while also helping set the technical direction. You’ll work directly with our founding and senior development team to make critical build-vs-buy decisions, define our infrastructure evolution over the coming years, and establish the foundations that enable our platform and team to scale reliably.
Infrastructure & Architecture
- Define and execute our multi-cloud infrastructure roadmap, making key decisions on technology selection, architecture patterns, and cost optimisation strategies
- Design the technical strategy for our Kubernetes-based deployment infrastructure and IaC approach across GCP, Azure, AWS, and on-premise deployments
- Build, deploy, and monitor container-based services using IaC in Fortune 500 production environments
- Interface with enterprise customers' technical teams to align on deployment and infrastructure requirements and rollout plans
- Architect and build the core data processing framework that powers customer onboarding and enables our AI products – this is the backbone of IQA
- Design and implement high-performance data pipelines processing millions of manufacturing events, optimised for both real-time and analytical workloads
- Define our data storage strategy (object storage, OLTP/OLAP, caching) and pipeline orchestration approach
- Develop and optimise APIs and data processing systems using Python (Polars/Dagster/FastAPI)
- Partner with product and engineering leadership to translate business requirements into robust infrastructure capabilities
- Research and evaluate emerging technologies, making clear recommendations on when and how to adopt new tools
- 6+ years in software engineering, cloud infrastructure, or backend/data engineering roles, with at least 2 years in a senior technical capacity where you made architectural decisions
- Deep, hands-on expertise with Kubernetes, major cloud providers (GCP, Azure, AWS), and IaC frameworks (Terraform, OpenTofu, Pulumi)
- Strong Python skills with modern data processing libraries (e.g. Polars) and API frameworks (FastAPI, etc.). Experience with TypeScript/React or Rust is a plus, not a requirement
- Proven experience designing and operating data pipelines, storage solutions (object storage, OLTP/OLAP, caching), and orchestration platforms (Dagster, Prefect, Airflow)
- Strong sense of ownership – you care about outcomes, not just outputs, and you’re happy to roll up your sleeves.
- Genuine interest in industrial manufacturing and B2B SaaS – we’re solving real problems for customers making physical products
- Entrepreneurial mindset: you enjoy building foundational systems that will support company growth over years
- Excellent organisational and communication skills – you can articulate complex technical decisions to non-technical stakeholders
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- We love the energy that comes from working together in person, so spending time at our Cologne or Berlin office matters to us. One on-site day per week is the minimum, and more time toge
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