Saegus

About the Company

Saegus: digital use at heart of the transformation of business models

The creation of Saegus is a response to a persistent issue for clients: companies that are at a loss when faced with the decisions they need to make to successfully complete their digital projects. Indeed, they are looking for digital experts, entrepreneurs, but also transformation professionals.

On the strength of this analysis, Saegus' core business is to propose and demonstrate concrete, operational and innovative applications in terms of digital uses. It is from this principle that the name Saegus was born, an anagram of the term USAGES.

Saegus operates in 3 areas of expertise:

Digital Workplace: intranet, social networks, mobility... all new factors that are changing the behaviour and uses of and at work;

Acceleration Tactics: accelerating your projects, your ideas or products or your organisation through an iterative approach based on 3 dimensions: Design, Prove & Scale.

Data Driven Business: the volume of data has never been so important and will continue to grow exponentially in the coming years. Yet, they represent a major challenge in order to know, retain and personalise or even predict the behaviour of individuals, both outside and inside the company.

Listed Jobs

Company Name

Saegus

Job Title

Consultant·e Data Engineer – Senior

Job Description

Job title: Senior Data Engineer Consultant Role Summary: Design, build, and industrialize end‑to‑end data pipelines and architectures for clients, ensuring quality, performance, security, and alignment with business analytics needs. Expactations: Deliver robust, scalable data solutions in cloud environments; bridge technical and business teams; manage CI/CD, monitoring, governance, and documentation; mentor junior team members; self‑manage client engagements. Key Responsibilities: - Architecture and optimization of batch, streaming, and cloud‑native data pipelines (ETL/ELT). - Design and maintain data lake, warehouse, and mesh solutions on Azure, GCP, or Snowflake. - Implement orchestration (Airflow, Azure Data Factory, Prefect, Dagster) and CI/CD pipelines with Terraform, automated deployments, testing, and monitoring. - Guarantee data governance, traceability, security, and compliance. - Collaborate with analytics, science, and product teams to meet business requirements and support analytics/data‑science workloads. - Drive knowledge sharing, training, and continuous improvement within the Smart Data team. - When senior, independently lead client projects and supervise a small team. Required Skills: - 4+ years of data engineering experience in cloud/hybrid environments. - Proficiency in Python and SQL for data transformation, quality, and performance. - Deep knowledge of orchestration tools (Airflow, Azure Data Factory, Prefect, Dagster). - Experience with modern data architectures: Data Lake, Data Warehouse, Data Mesh. - Hands‑on with Azure (ADF, Synapse, Databricks), GCP (BigQuery, Dataflow, Composer), or Snowflake. - Active use of CI/CD, automated testing, monitoring, Terraform IaC. - Strong data governance, quality, security, and compliance practices. - Ability to collaborate effectively with analytics and data‑science teams. - Excellent communication in English and French. Required Education & Certifications: - Bachelor's or Master’s degree (engineering, computer science, business, or equivalent) with specialization in Data, Cloud, or related field. - 4+ years of relevant data engineering experience in consulting or large enterprise contexts. - Certifications in Azure Data Engineer, GCP Data Analytics, Snowflake, or equivalent are a plus.

Paris, France

On site

Senior

04-11-2025

Company Name

Saegus

Job Title

Consultant·e Data & IA Architect

Job Description

**Job Title** Consultant – Data & AI Architect **Role Summary** Design and implement end‑to‑end Data and AI architectures for clients, guiding them from maturity assessment through target technology and organizational design to delivery. Act as a bridge between business, data, and IT teams, ensuring strategic alignment, governance, security and scalability of solutions. **Expectations** * Lead or co‑lead Data & AI transformation initiatives, defining vision, roadmaps and value metrics. * Possess a strategic mindset to translate complex technical concepts into high‑impact, stakeholder‑ready communication. * Demonstrate proven ability in consulting engagements, producing deliverables such as architecture diagrams, roadmaps, technology selection matrices and executive presentations. * Communicate fluently in English and French, engaging C‑level stakeholders and technical teams alike. **Key Responsibilities** 1. Conduct data maturity diagnostics and define target Data/AI architectures (Data Platform, Lakehouse, Data Mesh, MDM). 2. Translate business requirements into technical solutions, selecting appropriate technologies and frameworks (e.g., MLOps, LLMOps). 3. Draft architecture deliverables, roadmaps, cost estimates, and transformation trajectories (legacy → target). 4. Ensure governance, security, compliance, and quality controls across the data lifecycle. 5. Lead migration or modernization projects, overseeing data quality, security and scalability. 6. Monitor industry trends, emerging AI use‑cases, and new architectural patterns, recommending innovations to clients. 7. Mentor junior consultants, fostering a collaborative environment and knowledge sharing. **Required Skills** * Proficiency in data architecture principles (Platforms, Lakehouse, Mesh, MDM). * Deep understanding of AI integration practices (MLOps, orchestration, monitoring, model deployment). * Strong analytical, synthesis, and storytelling capabilities for C‑level impact. * Experience setting up data governance, privacy, security, and compliance frameworks. * Ability to create technical roadmaps, cost models, and architecture documentation. * Excellent communication in English and French, both written and oral. * Collaborative leadership and client‑facing engagement skills. **Required Education & Certifications** * Bachelor’s (or Master’s) degree in Engineering, Computer Science, Data Analytics, or Business Administration (minimum 5 years of post‑graduate experience). * Minimum 4 years’ consulting experience in Data or AI, with demonstrable delivery of diagnostic, governance or architectural projects. * Preferred certifications: Certified Data Management Professional (CDMP), Certified Analytics Professional (CAP), or Cloud Architecture certifications (e.g., AWS Solutions Architect – Professional, Azure Data Engineer Associate, or Google Cloud Professional Data Engineer).

Paris, France

On site

Junior

04-11-2025

Company Name

Saegus

Job Title

Consultant·e Data & IA Strategy

Job Description

**Job Title** Data & AI Strategy Consultant **Role Summary** Design, articulate and drive end‑to‑end Data & AI strategies that deliver measurable business value. Act as a trusted advisor to C‑suite clients while coordinating cross‑functional teams and delivering actionable roadmaps, governance frameworks, and adoption programs in a consulting environment. **Expectations** - Partner with clients to assess maturity, define vision, and translate strategic ambitions into executable programs. - Own end‑to‑end delivery from diagnostics through roadmap creation, business case formulation, governance design and change management. - Influence executive decision‑making through clear, data‑driven presentations and impact‑focused communication. **Key Responsibilities** 1. Conduct diagnostic and maturity assessments for data and AI capabilities (organization, governance, processes, tools). 2. Develop prioritized Data & AI roadmaps, scenario planning, budgeting, and resource allocation for short‑ to long‑term horizons. 3. Design target architectures (Data Platform, Data Mesh, MDM) and align IT, business, and data teams for seamless execution. 4. Build and maintain financial models, ROI drivers, KPIs, and value‑offices for continuous value capture. 5. Define and execute adoption levers—Data Culture, AI Academy, Self‑Service—ensuring governance and change management are embedded. 6. Produce high‑impact strategy and visual material for C‑level stakeholders (CDO, CIO, CFO, CEO). 7. Support and mentor junior consultants; manage program delivery and client relationships independently when seniority allows. 8. Monitor industry trends, emerging technologies, and innovative use cases to enrich advisory offerings. **Required Skills** - Proven experience in Data/AI strategy consulting (≥ 4 years). - Strong diagnostic and assessment methodology (process, governance, tool, org). - Roadmap development, scenario prioritization, budgeting, and ROI modeling. - Knowledge of modern Data architectures (Platform, Mesh, MDM). - Business case creation and value‑offering design (value office). - Change‑management and adoption frameworks (Data Culture, AI Academy, Self‑Service). - Executive storytelling and high‑impact visual communication. - Fluency in French and English (written & verbal). **Required Education & Certifications** - Master’s level degree (engineering or business school, ≥ Bac+5) with specialization in strategy, data, transformation, or innovation. - Relevant certifications (e.g., Certified Analytics Professional, Data Management Professional, AI/ML certificates) preferred.

Paris, France

On site

Junior

04-11-2025

Company Name

Saegus

Job Title

Consultant·e Data & IA - Stage de fin d'études

Job Description

Job Title: Data & AI Consultant (Internship) Role Summary: Junior consultant in a Smart Data team, responsible for delivering data‑centric solutions over a minimum 6‑month internship, focusing on visualization, storytelling, big data, machine learning, and AI to help clients unlock value from their data. Expectations: - Minimum 6‑month internship, full‑time. - Final year engineering student or equivalent, with prior data‑related internships or projects. - Strong mathematical and statistical foundation. - Fluency in French and English (written and spoken). - Passion for data innovation and willingness to learn. Key Responsibilities: - Design and implement data visualizations and storytelling artifacts using Tableau, Power BI, and other tools. - Develop and test Big Data, ML, and deep learning experiments; build disruptive data products in collaboration with research teams. - Participate in end‑to‑end data projects: data engineering, ETL, modeling, and deployment. - Collaborate within multidisciplinary agile squads (data engineers, full‑stack developers, data scientists). - Administer Windows and Linux servers, manage SQL Server, HP Vertica, Big Query, MySQL environments. - Code in Python, SQL, and JavaScript; develop scripts and small applications. - Support client workshops, demos, and knowledge transfer. Required Skills: - Data visualization & storytelling; Tableau, Power BI. - Big Data platforms; experience with SQL Server, HP Vertica, Big Query, MySQL. - Programming: Python, SQL, JavaScript. - Basic server administration (Windows & Linux). - Fundamentals of machine learning, deep learning, and AI concepts. - Strong analytical, problem‑solving, and communication abilities. - Agile methodology familiarity. Required Education & Certifications: - Enrolled in the final year of an engineering program or equivalent (BSc/MSc in Computer Science, Data Science, Statistics, Engineering). - Solid background in mathematics and statistics; coursework or projects in data analysis/machine learning. - Certifications not required, but knowledge of data‑science tools and cloud platforms (e.g., GCP Big Query) is advantageous.

Paris, France

On site

28-11-2025