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Data Engineer - Job Opportunity at Bloomfield Robotics

Paris, France
Full-time
Senior
Posted: March 27, 2025
On-site
EUR 65,000 - 85,000 annually based on Paris market rates for senior data engineering roles in agtech sector

Benefits

Opportunity to work with cutting-edge agricultural AI technology
Access to global resources through Kubota partnership
Work on sustainable agriculture initiatives
Growth potential in expanding organization

Key Responsibilities

Lead design and implementation of mission-critical data pipelines for agricultural technology
Architect data schema and transformation processes for AI-powered crop monitoring systems
Ensure enterprise-grade reliability and security of data infrastructure
Drive data ecosystem optimization for scalability and performance
Develop technical documentation and data governance standards

Requirements

Education

Bachelor's or Master's degree in Computer Science, Engineering, or similar field

Experience

5+ years of experience as a Data Engineer or similar role

Required Skills

dbt SQL Python GCP BigQuery AWS Redshift Data Warehouse design Data monitoring Self-serve BI tools Image data processing Problem-solving Communication
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Sauge AI Market Intelligence

Industry Trends

Agricultural technology sector is experiencing rapid growth with increased focus on precision farming and AI-driven solutions Recent acquisition by Kubota signals consolidation trend in agtech market, with major equipment manufacturers investing in digital capabilities Data engineering roles in agriculture are becoming increasingly specialized, requiring unique blend of traditional data skills and domain-specific knowledge

Role Significance

Likely part of a 5-8 person data engineering team within larger technical organization
Senior individual contributor role with significant technical ownership and architectural decision-making authority

Key Projects

Implementation of scalable data pipelines for real-time crop monitoring Integration of edge computing solutions with cloud infrastructure Development of data architecture for AI model training and deployment Creation of automated quality assurance systems for agricultural data

Success Factors

Deep understanding of both cloud and edge computing architectures Ability to balance technical excellence with practical agricultural applications Strong focus on scalable and maintainable solutions Excellent communication skills to bridge technical and domain expertise

Market Demand

High demand with limited talent pool due to specialized nature of agricultural technology and AI imaging requirements

Important Skills

Critical Skills

Data pipeline architecture expertise crucial for handling real-time agricultural data Cloud infrastructure knowledge essential for scalable solutions Image processing experience valuable for core product functionality

Beneficial Skills

Agricultural domain knowledge Edge computing expertise Machine learning pipeline experience IoT data handling capabilities

Unique Aspects

Rare opportunity to work with specialized agricultural AI technology
Direct impact on global food security and sustainable farming
Combination of startup innovation with enterprise resources
Complex technical challenges involving edge computing and cloud integration

Career Growth

2-3 years in role before advancement opportunity, accelerated by company's growth phase

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Product Manager AgTech Solutions Architect

Company Overview

Bloomfield Robotics

Innovative AgTech startup recently acquired by global agricultural equipment leader Kubota, positioning for significant growth and market expansion

Strong competitive position due to unique AI-powered imaging technology and backing of major industry player
European operations with global reach through Kubota network
Fast-paced startup environment transitioning to enterprise structure while maintaining innovation focus
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Job Listings Data

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.