Data and Automation Systems Builder

Accountabilities

• Contribute to the development of an AI-powered data engine that enables natural-language data queries and supports automated operational decision-making.


• Design and build automated data pipelines, dashboards, and reporting systems using BI platforms such as Looker Studio or equivalent tools.


• Translate loosely defined business requirements into functional, end-to-end technical solutions without relying on detailed specifications.


• Build real-time alerts and automated triggers that identify process failures, deviations, bottlenecks, and operational risks.


• Surface stage-by-stage process events and timestamps across core platforms to identify where workflows slow down or become blocked.


• Develop and maintain workflow automations connecting raw data sources with reporting, monitoring, and alerting systems using tools such as n8n, Make, or custom scripts.


• Investigate and resolve data quality, integrity, and pipeline issues directly at their source.


• Use modern AI tools as a core part of the development workflow to accelerate research, coding, prototyping, debugging, and system development.


• Partner closely with engineering, automation, and business stakeholders to understand requirements and deliver practical solutions.


• Create lightweight, accessible documentation that enables non-technical managers to understand and use the systems independently.


• Continuously improve the reliability, scalability, and usability of the organization's data and automation ecosystem.


• Take ownership of projects from initial problem definition through development, deployment, troubleshooting, and ongoing improvement.

Requirements

• Demonstrated experience working in a technical, data, automation, systems, or engineering-oriented role where you have built functional solutions rather than simply analyzed existing data.


• Strong builder and engineer mindset, with the ability to navigate ambiguous problems through research, experimentation, implementation, and iteration.


• Hands-on proficiency with SQL and cloud data warehouses such as BigQuery or equivalent technologies.


• Strong experience with BI and dashboarding platforms such as Looker Studio or comparable tools.


• Practical experience with workflow automation platforms such as n8n, Make, or custom scripting solutions.


• Proven ability to build and deploy end-to-end tools, pipelines, automations, or production workflows from scratch.


• Comfortable working directly with business leaders and translating business needs into technical requirements without depending on formal specifications.


• Strong problem-solving, logical reasoning, and analytical skills, with the ability to break complex or ambiguous problems into actionable steps.


• Demonstrated ability to take ownership of outcomes, work independently, and push projects through to completion.


• Heavy, practical use of AI tools to accelerate development, write code, prototype systems, research solutions, and debug technical issues.


• Ability to adapt rapidly to new technologies, systems, tools, and business requirements.


• Comfortable receiving direct, constructive feedback and responding quickly without unnecessary friction.


• Strong communication and collaboration skills when working with technical and non-technical stakeholders.


• Startup or high-growth environment experience is advantageous.


• Experience with AI agents, LLM APIs, advanced automation, or natural-language interfaces is a strong plus.


• Willingness to work full-time as an exclusive independent contractor.

• Fully remote position with the flexibility to work from Poland as part of a global team.


• Full-time, exclusive independent contractor engagement.


• Flexible working hours, with partial overlap with US business hours in Pacific or Eastern Time for meetings and synchronous collaboration.


• Competitive, outcome-driven monthly compensation tailored to the candidate's experience and potential impact.


• Opportunity to work on an ambitious AI-powered data and automation vision rather than traditional static reporting.


• High degree of autonomy and ownership over the organization's data and automation ecosystem.


• Exposure to modern AI tools, automation platforms, cloud data technologies, and end-to-end systems development.


• Opportunity to work closely with engineering, automation, and business leaders in a fully remote environment.


• Fast-paced culture that values initiative, experimentation, rapid learning, and practical execution.


• Opportunity to build systems with direct operational impact across a global product and manufacturing environment.

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