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• A higher education in IT, Engineering, or similar
• Proficiency in either Java, C#, or Kotlin
• For those wishing to focus on frontend development, experience with React, Vue or Angular
• Experience with cloud platforms such as Azure, Google Cloud or AWS
• Experience working with the development of systems, applications and services

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  Lead the delivery of GCP-based data platform initiatives, ensuring milestones and outcomes align with strategic goals.
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  Orchestrate and coordinate teams including data engineers, architects, QA, and DevOps.
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  Plan and execute project phases (design, development, testing, deployment), ensuring readiness of environments.
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  Champion Agile/Scrum and DevOps practices while maintaining velocity and quality.
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  Manage stakeholder expectations and proactively surface risks.
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  Support technical roadmaps in collaboration with platform architects.
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  Oversee compliance with delivery governance, data quality, and GCP frameworks.
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  Mentor team members and promote a culture of innovation, accountability, and knowledge sharing.

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  Strong experience in technology delivery, data engineering, BI, or data architecture.
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  Good experience as a Delivery Lead or Technical Lead for cloud data projects (GCP preferred).
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  Strong knowledge of Agile, Scrum, DevOps, and CI/CD delivery practices.
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  Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, Cloud Storage, and Pub/Sub.
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  Understanding of modern data architecture (ETL/ELT, data lakehouse, star/snowflake schemas).
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  Awareness of data governance and compliance frameworks (GDPR, HIPAA, RBAC).
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  Excellent leadership, communication, and stakeholder management skills.

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  Competitive salary with comprehensive benefits package.
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  Private healthcare, income protection, and life assurance.
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  Rewarding pension scheme.
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  Professional development opportunities including training, workshops, and certifications.
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  A flexible hybrid working model designed to promote work-life balance.

What you'll do

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  Lead the design and delivery of .NET-based microservices running on Azure (experience with AWS or GCP is also valuable).
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  Architect and implement scalable cloud-native solutions that power intelligent farming equipment and ecosystems.
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  Collaborate closely with product owners, data scientists, and hardware engineers to turn complex requirements into robust, maintainable systems.
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  Drive ML/AI initiatives, bringing smart automation and predictive analytics into the core of farming technology.
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  Champion the use of AI-powered developer tools (e.g., Cursor, Claude, Copilot) to improve developer experience, code quality, and delivery speed.
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  Act as a bridge between technical teams and stakeholders, ensuring solutions meet both business and field-level needs.
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  Mentor engineers, set best practices, and lead by example in modern engineering processes.

What we're looking for

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  Strong experience with the .NET stack and modern microservices architectures.
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  Hands-on expertise in Azure cloud services (or transferable knowledge from AWS/GCP).
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  Proven ability to lead cross-functional engineering initiatives, from conception to production.
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  Background working with data-driven solutions, AI/ML integration, or IoT systems is highly desirable.
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  Experience in improving developer experience using modern tooling and AI assistants.
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  Excellent communication and stakeholder management skills, you can translate between business needs and technical delivery.

Why join us?

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  Shape the future of sustainable agriculture with breakthrough tech.
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  Work in a dynamic, innovative environment where hardware, software, and AI intersect.
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  Lead initiatives that have a real-world impact on food production and global efficiency.
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  Competitive package, growth opportunities, and the chance to make your mark in a rapidly growing sector.

• Identify and implement opportunities where AI can create tangible value for customers.
• Design and develop production-grade AI solutions that automate complex tasks.
• Build and optimize advanced NLP models for document analysis and interpretation.
• Contribute to finding the right ML framing of industry challenges.
• Create scalable AI systems that can handle diverse requirements across different markets.

• Take algorithms from proof-of-concept to production, ensuring robustness and scalability.
• Establish processes for large-scale data analysis, model development, validation, and deployment.
• Build and maintain ML infrastructure that can evolve with growing needs.
• Implement monitoring systems to track model performance and accuracy.
• Ensure AI solutions maintain high standards of explainability and ethical considerations.

• Work closely with product managers and subject matter experts to translate business requirements into technical solutions.
• Partner with engineering teams to integrate AI capabilities into the core platform.
• Contribute to technical documentation and knowledge sharing.
• Participate in architecture discussions and technical decision-making.

• 5+ years of hands-on experience in production environments, with a strong track record of designing and architecting distributed systems.
• Experience developing and deploying production-grade software using ML frameworks such as TensorFlow, PyTorch, etc.
• Deep understanding of engineering and infrastructure best practices, with a focus on the ML software development lifecycle.
• Expertise in building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems using frameworks like Hugging Face and OpenAI SDKs.
• Strong background in modern deep learning techniques, LLMs, and data-intensive applications.
• Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows.
• Knowledge of techniques for optimizing ML inference performance.
• Hands-on expertise designing and managing batch and real-time ML pipelines/workflows for structured and unstructured data on AWS (SageMaker, ECS, EKS, Airflow).
• Familiarity with LLMOps and observability tools (Langsmith, Opik, Ragas, Weights & Biases) for monitoring, evaluation, and governance.
• Excellent communication skills and the ability to collaborate effectively across teams.

• Rol 100% remoto, con libertad total para trabajar desde cualquier lugar de España.
• Participación en proyectos end-to-end para clientes del sector industrial y de servicios.
• Entorno técnico exigente, con interlocución directa y foco en resultados.
• Formación reglada, certificaciones oficiales y acceso a tecnologías punteras (Power Platform, Azure, Resco).
• Progresión interna real y planes de carrera personalizados.
• Salario competitivo en modalidad de indefinido desde el día 1.

• Experiencia sólida en implantación de soluciones Dynamics 365 Field Service.
• Haber lidiado proyectos completos.
• Capacidad para comunicarse con el cliente, guiándole en la optimización de sus tareas
• Conocimientos en Power Platform (Power Apps, Power Automate)

• Grado universitario en áreas STEM o derecho.
• Al menos 5 años de experiencia en roles similares.
• Experiencia con herramientas de SAP OMP, integraciones SAP ABAP, SAP Fiori y SAP R/3 or R/4 and Python.
• Persona proactiva y con ganas de trabajar en equipos dinámicos e interés en entornos internacionales.
• Ingles avanzado (C1)

• Contrato indefinido con el cliente final.
• Horario flexible.
• Modelo híbrido: 2 días por semana en oficina.
• Salario competitivo en función de la experiencia

MS Dynamics 365 F&O Technical Support Consultant

Requirements:

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  Several years of experience working with Microsoft Dynamics 365 Finance & Operations
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  Proven background in a technical support or system administration role related to Dynamics 365
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  Strong analytical and problem-solving abilities, especially with user or system-level issues
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  Experience with D365 configuration, customization, and form/report development
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  Ability to manage user roles, permissions, and license assignments within D365
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  Self-motivated and adaptable, able to thrive in fast-paced and dynamic environments
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  Customer-oriented mindset with strong communication and collaboration skills

Key Responsibilities:

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  Technical Support: Provide first and second-level support for D365 F&O users, resolving technical and functional issues
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  System Configuration: Customize and configure the D365 F&O platform, including workflows, forms, and reports, to support business processes
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  User Access Management: Set up and maintain user accounts, assign roles, manage licenses, and ensure compliance with security protocols
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  Training & User Enablement: Deliver user training and provide ongoing support to help teams fully utilize system capabilities
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  Documentation: Maintain clear records of system changes, configurations, and standard operating procedures
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  Stakeholder Collaboration: Work closely with internal users and business stakeholders to gather requirements and liaise with third-level support or external partners when needed
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  System Monitoring: Regularly monitor system performance and propose or implement improvements to ensure operational stability and efficiency

To apply:

• Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation
• Leading client workshops and translating business needs into technical solutions
• Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory)
• Building data lakes with medallion architecture
• Migrating legacy on-prem data systems to the cloud
• Creating impactful dashboards and reports using Power BI
• Supporting and evolving data solutions post-deployment

• Proven experience in Data Engineering or Data Warehouse Development
• Strong hands-on skills with Azure data tools and SQL/Python
• Knowledge of medallion lakehouse design and large-scale data integration
• Experience with Power BI, SSIS, SSAS, SSRS, and data modelling
• Ability to write complex queries, stored procedures, and notebooks
• Exposure to MDX/DAX and BI concepts
• A collaborative mindset and strong communication skills

• Competitive salary
• 25 days holiday + monthly home working allowance
• Private health insurance (after 1 year)
• Enhanced parental leave and life assurance
• Access to 24/7 GP and Employee Assistance Programme
• Perks including Perkbox, CycleScheme, and electric car scheme
• A chance to work for a World Class Best Company
• Remote Working