Jems Group

3 Jobs

640 Employees

About the Company

JEMS is a French company specializing in Big Data. With 900 employees and sales of €93 million, the company is present in 13 French cities, as well as in Switzerland, Belgium, Romania, Spain, Morocco and Tunisia.

JEMS' business is to create, manage and operate our customers' data patrimony, which then becomes a genuine company asset.

We have a unique manufacturing process that enables us to literally industrialize the creation of use cases and innovative services based on AI or pure analytics.
From source to use, we design data-driven services for our key account customers in the banking, insurance, energy, e-commerce, automotive, luxury goods, transport and agritech sectors.

Listed Jobs

Company Name: Jems Group
Job Title: Business Analyst H/F
Job Description: **Job Title** Business Analyst **Role Summary** Mid‑level Business Analyst responsible for capturing and translating business needs into functional specifications within an Agile framework. Coordinates with development teams, external vendors, and stakeholders to deliver robust data‑management solutions. Conducts functional and regression testing, manages production incidents, and ensures clear communication across multilingual teams (French, Dutch, English). **Expectations** - 3+ years professional experience as a Business Analyst. - Strong written and oral communication in French, Dutch, and English. - Ability to work independently while collaborating effectively in cross‑functional teams. - Basic IT literacy to understand implementation possibilities in IT systems. - Proven project‑management experience and analytical mindset. **Key Responsibilities** - Elicit, analyse, and document business requirements from business lines. - Create iterative functional specifications (user stories, use cases, acceptance criteria) aligned with Agile methodology. - Define functional test cases, execute Functional Acceptance Tests (FAT), and perform regression testing. - Coordinate with external vendors to assess market tools and manage integration activities. - Document, analyse, and resolve production incidents and third‑level support requests. - Liaise between business stakeholders and development teams to ensure clear understanding of requirements. **Required Skills** - Functional analysis and specification writing. - Agile practices (Scrum/Kanban). - Test design and execution (FAT, regression). - Incident and change management. - Multilingual communication (French, Dutch, English). - Strong analytical and synthesis capabilities. **Required Education & Certifications** - Bachelor’s degree or higher from an engineering school or university. - Minimum of 3 years experience as a Business Analyst. - Certifications in Business Analysis (e.g., CBAP, PMI‑BA, Certified ScrumMaster) are a plus but not mandatory.

Company Name: Jems Group
Job Title: Tech Lead Data Engineer F/H
Job Description: **Job Title:** Tech Lead Data Engineer **Role Summary:** Lead the design, implementation, and operational excellence of data engineering solutions. Drive architectural decisions, ensure data quality, and mentor junior consultants while collaborating with stakeholders to meet business objectives. **Expectations:** - Deliver innovative, scalable, and robust data solutions. - Maintain high standards of data governance, quality, and security. - Serve as an architectural advocate to clients and internal teams. - Mentor and develop junior data engineers. - Contribute to pre‑sales and proposal activities. **Key Responsibilities:** - Design and implement data access, ingestion, and quality pipelines. - Industrialize and supervise end‑to‑end data workflows. - Author development standards and contribute to operation manuals. - Present and promote data architectures to clients. - Translate business requirements into technical solutions. - Guide and coach junior consultants. - Participate in bid responses and pre‑sales discussions. **Required Skills:** - SQL (advanced). - Object‑oriented language proficiency (Python, Java, or Scala). - Distributed computing framework (Spark, Flink, etc.). - Message bus expertise (Kafka, RabbitMQ). - Data integration tools (Talend, Matillion, Stambia). - Search/ELK stack (ElasticSearch, Logstash, Kibana, Solr). - Cloud data storage (S3, Azure Blob, HDFS, DeltaLake). - CI/CD tools (Git, Jenkins, JUnit, SonarQube). - Cloud platforms (AWS, GCP, Azure) or Big Data distributions (Hortonworks, Cloudera, Datastax). - Relational and NoSQL data modeling concepts. **Required Education & Certifications:** - Engineering or university degree in Computer Science, Information Technology, or related field. - Minimum 5 years of professional data engineering experience. - Relevant certifications (e.g., AWS Big Data, Cloudera Certified Associate) are a plus.

Levallois-perret, France

On site

Senior

14-01-2026

Company Name: Jems Group
Job Title: Tech Lead Data F/H
Job Description: **Job Title** Tech Lead Data (F/H) **Role Summary** Lead the design, implementation, and operational excellence of enterprise data solutions. Ensure data access, quality, industrialization, and monitoring while setting development standards and guiding junior consultants. **Expectations** - Communicate and advocate data architectures to clients. - Understand and translate business requirements into technical solutions. - Mentor and develop junior data consultants. - Contribute to pre‑sales activities and RFP responses. **Key Responsibilities** - Implement data access, indexing, and quality controls. - Industrialize and supervise data pipelines and integrations. - Draft and maintain development best‑practice documentation. - Author content for the operation manual. - Present data architecture proposals to stakeholders. - Identify and articulate business needs. - Train, coach, and elevate junior team members. - Participate in pre‑sales (RFP) preparation and strategy. **Required Skills** - Prompt Engineering, Retrieval‑Augmented Generation (RAG), Large Language Models (LLM), and AI agentic tools (ChatGPT, Claude, Gemini, Mistral). - Proficiency in SQL and an object‑oriented language (Python, Java, or Scala). - Experience with distributed computing frameworks (Spark, Flink). - Messaging middleware: Kafka or RabbitMQ. - Data ingestion tools: Talend, Matillion, Stambia. - Search technologies: ELK stack (Elasticsearch, Logstash, Kibana), Solr, or cloud search services. - Data storage: object storage and distributed file systems (HDFS, Delta Lake, Blob/S3). - Continuous integration/continuous delivery (CI/CD): Git, JUnit, SonarQube, Jenkins. - Cloud platforms: AWS, GCP, Azure, or big‑data distributions (Hortonworks, Cloudera, Datastax). - Knowledge of relational and non‑relational data modeling. **Required Education & Certifications** - Bachelor’s or Master’s degree from an engineering school or university. - Minimum 5 years of professional data project experience. - Demonstrated rigor, proactivity, autonomy, continuous learning, and ability to adapt to project stakes.