Home Jobs Pipeline Tool Developer
Back to Jobs

Pipeline Tool Developer - Job Opportunity at Syngenta Seeds

Toulouse, France
Full-time
Senior
Posted: March 5, 2025
On-site
EUR 65,000 - 85,000 annually based on Toulouse market rates for senior pipeline developers in agricultural technology

Benefits

Comprehensive healthcare package (Medical, Dental & Vision) with immediate coverage, positioning above industry standard with zero waiting period
Strong retirement planning with 401k matching, Profit Sharing, and additional Retirement Savings Contribution, indicating long-term investment in employee financial security
Flexible time-off policy with paid holidays and generous vacation allowance, supporting work-life balance
Progressive family support through Maternity/Paternity Leave programs
Professional development support through Education Assistance programs
Holistic wellness programs and corporate discounts, demonstrating commitment to employee well-being
Inclusive culture with structured diversity initiatives and professional growth opportunities

Key Responsibilities

Lead architectural design and implementation of enterprise-scale data pipelines supporting machine learning operations and advanced analytics deployment
Drive cloud infrastructure automation and optimization, implementing infrastructure-as-code practices for scalable data operations
Spearhead development of end-to-end analytical pipelines, ensuring data integrity and processing efficiency
Design and develop interactive data visualization interfaces for web applications, enhancing data accessibility and user experience
Establish and maintain CI/CD pipelines, ensuring reliable software delivery and deployment processes
Orchestrate container deployment and management in cloud environments, optimizing resource utilization
Lead performance optimization and monitoring of deployed models, implementing robust error handling and logging systems
Manage multi-environment software deployment strategies, ensuring consistent configuration across development and production

Requirements

Education

Bachelor or Master degree in Computer Science or a related field

Experience

At least 5 years of post-academic working experience in software development

Required Skills

Proficiency in multiple programming languages (Python, Java) Experience with big data technologies (Snowflake, Apache Airflow, dbt) Cloud-based services and DevOps concepts API technologies (RESTful APIs, GraphQL) CI/CD pipeline development Cloud-native application development (AWS) Data modeling and pipeline development Strong problem-solving and critical thinking Collaborative capabilities with cross-functional teams
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Agricultural technology sector is experiencing rapid digital transformation, with increased focus on data-driven decision making and automation in seed development Growing demand for MLOps and DataOps expertise in agricultural sciences, particularly in genetics and crop development Shift towards cloud-native architectures and containerization in agricultural research and development Rising importance of real-time data processing and analytics in agricultural research and production planning

Role Significance

Typically part of a 5-8 person data engineering team within a larger R&D organization of 50-100 people
Senior technical position with significant influence on data infrastructure and analytics capabilities

Key Projects

Implementation of scalable data pipelines for genetic research and seed development Development of real-time analytics platforms for agricultural production optimization Integration of machine learning models into production workflows for crop yield prediction and optimization

Success Factors

Deep understanding of agricultural research workflows and data requirements Ability to bridge technical implementation with business objectives in agricultural science Strong focus on scalable and maintainable solution architecture Effective collaboration with diverse stakeholders including scientists and business users

Market Demand

High demand with growing trajectory due to agricultural sector's digital transformation and limited pool of candidates with combined data engineering and agricultural domain knowledge

Important Skills

Critical Skills

Cloud infrastructure and pipeline development expertise is essential for scaling agricultural research operations Machine learning operations knowledge enables effective deployment of predictive models in crop development Data modeling skills are crucial for handling complex genetic and agricultural datasets

Beneficial Skills

Understanding of agricultural or biological data structures Experience with genetic research data processing Knowledge of agricultural industry regulations and compliance requirements

Unique Aspects

Rare opportunity to apply advanced data engineering in agricultural science context
Direct impact on global food security and sustainable agriculture
Combination of cutting-edge technology with biological sciences

Career Growth

2-3 years in role before advancement opportunity, with potential fast-track based on project impact

Potential Next Roles

Lead Data Engineer in Agricultural Technology Technical Architecture Manager Head of Data Platform Engineering Director of Agricultural Technology

Company Overview

Syngenta Seeds

Syngenta Seeds is a global leader in agricultural innovation and seed development, with significant investment in digital transformation and data-driven research

Top-tier player in agricultural technology and seed development with strong market presence and research capabilities
Toulouse office serves as a key technical hub for European operations, with significant R&D investment
Innovation-focused environment with emphasis on scientific excellence and technical innovation, balanced with sustainable agricultural practices
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • 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.