Role Description La programmation des Fonds européens 2028-2034 instaure une approche intégrée regroupant l'ensemble des fonds européens au sein d'un Plan de Partenariat National-Régional (PPNR), afin de simplifier leur pilotage. Cette réforme s'accompagne d'une évolution des systèmes d'information nécessaires aux échanges avec la Commission européenne. Le Secrétariat général des affaires européennes (SGAE) envisage de confier à l'ASP le rôle d'opérateur technique du futur système d’information (SI) de coordination nationale, articulé autour d'un système de gestion des déclarations de paiement et d'un système décisionnel de suivi des opérations. Au sein de l’équipe du Lac de données agricoles (plateforme Big data), vous serez amené(e) à construire et évaluer des chaînes de traitement de données (préparation, modélisation, agrégation, exploration, analyse, prédiction) en collaboration avec les chargés de mission de Valorisation de données et les data scientists, puis assurer leur industrialisation (soit en propre, soit avec l’appui d’un prestataire informatique). - S'assurer que la collecte, le stockage et la transformation des données se déroulent efficacement et en toute sécurité, pour l’ensemble des projets applicatifs du Lac de données ou d’applicatifs portés en dehors du lac. - Orchestrer l'architecture de données et mettre en place des flux de données (au sein du lac ou depuis l'externe). - Veiller à ce que les données soient aisément accessibles et exploitables pour l'analyse par les Data Scientists et les chargés de mission de valorisation de données. - Identifier les difficultés rencontrées par les équipes projet et les partager avec la MOE pour les solutionner. - Monitorer les performances des flux. - Concevoir une architecture data alignée sur les besoins métiers et garantissant la performance, la scalabilité et la conformité des solutions data. Qualifications - Maîtrise de python, PySpark et de SQLPlus (> 5 ans). - Connaissance fonctionnelle et technique (administration) souhaitée du produit Microstrategy. - Aptitude à challenger la MOE en cas de problème sur le socle (déboguer, agir, tracer, communiquer). - Maîtrise des SGBDR PostgreSQL et Oracle (sauvegarde, restauration, miroitage). - Solide connaissance des technologies Big Data (Cloudera, Apache Kafka, Apache Spark, Hadoop, Hive, Atlas). - Capacité à challenger une architecture technique. - Maîtrise opérationnelle des éléments clés de l'architecture informatique (système, réseau, bases de données, stockage, middleware, chaîne CI/CD). - Compétences/expériences avérées en modélisation de données. - Expérience en MLOps (intégration de modèles IA dans les pipelines data). - Maîtrise des architectures cloud et data mesh. Requirements - Avoir le sens de l'organisation, anticiper les deadlines, orchestrer les actions. - Savoir rédiger un document technique. - Savoir argumenter les propositions techniques et aptitude à partager les connaissances avec les équipes d'architecture et de développement. - Une connaissance du monde agricole et du secteur public serait un plus. - Appétence pour le travail collaboratif et les outils innovants. Benefits - Travailler en équipe. - Rigueur, autonomie, méthode et sens de l’organisation. - Capacité à respecter des délais. Company Description Niveau 7 Master/diplômes équivalents. Diplôme d'ingénieur, avec au moins 5 à 8 ans d'expérience dans le domaine du développement, et au moins 2 ans d'expérience sur un poste d'architecture applicative. Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Contact : job.7f5nd.agencedeservicesetdepaiement@recruitee-email.com , pierre.poussard@asp.gouv.fr

Role Description Are you passionate about building scalable data pipelines and integrating enterprise systems? Do you enjoy working with modern Azure technologies and transforming data into valuable business insights? Would you like to contribute to an international analytics platform? Then we have an exciting opportunity for you! The international IT company Intetics is looking for an experienced Data Engineer (ETL/ELT) to join our team. The role involves designing, developing, and maintaining reliable data pipelines connecting enterprise systems, Azure Data Lake, Azure SQL, Microsoft Fabric, and Power BI. You will work on data integration, transformation, and optimization, ensuring high-quality, secure, and efficient data flows that support enterprise analytics and reporting. - Design, develop, and maintain ETL/ELT pipelines for enterprise data integration. - Build and optimize data pipelines using Azure Data Factory and/or Microsoft Fabric Data Factory. - Integrate data from APIs, databases, and file-based sources. - Implement data validation, quality controls, logging, and monitoring. - Optimize pipeline performance and troubleshoot production issues. - Support CI/CD processes and automated deployment of data pipelines. - Collaborate with cross-functional teams to deliver reliable data solutions. Qualifications - Strong experience with Azure Data Factory and/or Microsoft Fabric Data Factory. - Hands-on experience with Azure Data Lake and Azure SQL. - Advanced SQL skills. - Proficiency in Python or another scripting language. - Experience designing and maintaining production ETL/ELT pipelines. - Experience integrating APIs, databases, and file-based data sources. - Knowledge of incremental loading, historical data processing, and data validation. - Experience implementing logging, monitoring, and error handling. - Experience with CI/CD for data pipelines. - Strong troubleshooting and performance optimization skills. Requirements - Nice to Have: - Experience integrating Oracle or PeopleSoft systems. - Experience with Spark, Databricks, or Microsoft Fabric Notebooks. - Experience working with HR, Finance, Payroll, or other sensitive enterprise data.

Role Description We are seeking an experienced Salesforce Data Reconciliation Specialist to join our team. The position is 100% fully remote and can be located anywhere in the United States. In this role, you will be responsible for managing, optimizing and executing the movement of large data volumes within Salesforce and SQL Server. You will collaborate with cross-functional teams to ensure seamless data migration, integration, and synchronization using various tools and platforms. This is very much a hands-on position. Qualifications - Proficiency in using tools like Salesforce Bulk API, Data Loader, and SSIS (SQL Server Integration Services) for bulk data movement. - Familiarity with integration platforms such as MuleSoft, Informatica, or Talend. - Ability to optimize data transfer processes for minimal downtime and maximum efficiency. - Expertise in creating, managing, and migrating custom objects within Salesforce. - Understanding of data schema, relationships, and dependencies for accurate data import/export. - Proficiency in using Salesforce tools like Data Import Wizard and Data Loader. - Strong ability to write complex queries in SOQL. - Deep understanding of Salesforce object relationships (e.g., master-detail, lookup). - Extensive experience in designing, developing, and deploying SSIS packages for data integration and ETL processes. - Ability to transform data between different formats and systems using SSIS. - Proficiency in implementing robust error handling and logging mechanisms within SSIS packages. - Salesforce certifications such as Salesforce Certified Data Architecture and Management Designer or Salesforce Certified Platform Developer I can be advantageous. - Strong analytical skills and attention to detail. - Ability to work collaboratively in a team environment. - Practical experience with real-world projects involving data migration, integration, and management within Salesforce. Requirements - Experience with bulk data movement tools. - Familiarity with integration tools. - Experience with custom objects in Salesforce. - Strong SOQL skills. - Extensive SSIS experience. Benefits - Fully remote work environment. - Opportunity to work with cross-functional teams. - Hands-on experience with data migration and integration.

Role Description Client is seeking a Senior Data or Systems Engineer to support a large government contractor on a long-term federal healthcare technology program. This role will support a Health-related initiative focused on improving the connection between healthcare data, readiness data, electronic health records, clinical decision support, and operational readiness visibility. The project supports a federal health IT program connected to the government healthcare ecosystem. The broader mission is to improve how medical readiness data is connected to healthcare records, readiness assessments, provider workflow, and leadership visibility across the armed services. The program is expected to run for approximately three years for the selected personnel. Key Responsibilities - Serve as the primary technical lead supporting the government contractor's program team. - Provide technical product support, systems analysis, data architecture support, and value engineering recommendations. - Review and analyze healthcare-readiness system designs for function, reliability, quality, interoperability, and lifecycle cost effectiveness. - Support data dependency mapping, data flow analysis, and architecture mapping across systems, stakeholders, and readiness data sources. - Partner with business analysts, project control analysts, stakeholder managers, and government SMEs to translate mission needs into technical requirements. - Support development and maintenance of system requirements specifications, product backlogs, requirements traceability matrices, data dependency registers, data gap analyses, data sharing trackers, and architecture maps. - Work within Agile sprint cycles to support requirements refinement, sprint planning, backlog grooming, demonstrations, retrospectives, and acceptance criteria. - Support alignment between the value team, development teams, data services, cybersecurity, testing, product support, and government stakeholders. - Help identify risks, technical dependencies, data gaps, decision points, and remediation actions. - Support monthly program management reviews and quarterly executive briefings with technical input, status updates, and decision support. - Ensure technical artifacts are maintained in government-approved tools such as JIRA, Confluence, SharePoint, or equivalent platforms. - Support compliance with applicable data governance, privacy, controlled unclassified information, and federal healthcare data requirements. Qualifications - Bachelor's degree in Engineering, Architecture, Computer Science, Information Systems, Data Architecture, Systems Engineering, or a related technical field. - 8+ years of relevant technical experience in systems engineering, data engineering, data architecture, technical program support, health IT, or federal technology programs. - Familiarity with data architecture and/or government healthcare infrastructure. - Familiarity with cloud architecture, preferably in a federal, defense, healthcare, or regulated environment. - Minimum 4 years of experience working with Agile requirements. - Experience with requirements management tools such as JIRA, IBM Jazz, Rational tools, Confluence, or similar platforms. - Strong technical problem-solving ability. - Ability to perform cost-benefit analysis, value analysis, value methodology, or technical trade-off analysis. - Experience producing or supporting technical artifacts such as system requirements, product backlogs, requirements traceability matrices, data flow diagrams, architecture maps, data dependency registers, or technical decision logs. - Strong written and verbal communication skills, including the ability to brief technical and non-technical stakeholders. Preferred Qualifications - Experience supporting government health IT programs (ideal). - Familiarity with DoD acquisition frameworks or artifacts such as JCIDS, Adaptive Acquisition Framework, CDD, CNS, or related acquisition documentation. - Experience with electronic health records, medical readiness, operational medicine, clinical decision support, healthcare data interoperability, or readiness data platforms. - Understanding of NIST 800-171, HIPAA, Privacy Act, CUI handling, cybersecurity coordination, or federal data governance. - Experience supporting AI-enabled, prototype, modernization, or rapid application development programs. - Experience working as part of an embedded program management or Value Team supporting government leadership.