Engineering Director

PRECISIONvalue

Engineering Director responsible for leading a high-performing engineering team at Precision AQ. Building a centralized platform for data governance, AI/ML capabilities, and technical excellence.

Posted 6/29/2026full-timeRemote • 🇳🇱 NetherlandsLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams, driving technical excellence, and managing complex data platform initiatives. Proficient in establishing engineering practices and ensuring production systems meet service level agreements.

Highest-signal resume keywords

Data Engineering LeadershipModern Data Stack ExperienceCloud Data Warehouses (Snowflake)CI/CD PracticesRegulated Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringPlatform EngineeringCode ReviewDebuggingArchitecture JudgementIncident ManagementCapacity PlanningTechnical Quality AssuranceDelivery Accountability

Soft Skills

Team DevelopmentPerformance ManagementStrategic PlanningCross-Team CollaborationProblem Solving

Tools & Technologies

Transformation FrameworksOrchestration ToolsMonitoring ToolsAlerting SystemsIncident Response Processes

Industry Keywords

Compliance-Sensitive EnvironmentsProduction ReliabilitySLA ManagementTechnical BlockersVendor Relationships

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Stand up and scale a high-performing engineering team
Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning
Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability
Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks
Partner with the SVP on hiring, team development, vendor relationships and strategic planning
Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.
Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.

Requirements

What you’ll need

5/8+ years in data engineering, analytics engineering, or platform engineering roles
3+ years leading engineering teams (hiring, performance management, delivery accountability)
Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools
Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds
Experience operating in regulated or compliance-sensitive environments
Be able to review code, debug production issues and make sound architectural judgements.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options