Opportunité : Data Engineer Consultant
Bonjour,
Un de nos client cherche
Fiche de poste : Data Engineer Consultant
On Site and remote (hybrid) | 1+ years of experience, internship | Full time | Salary : depending on profile
Who we are
ConsultingIT is a consulting company specialized in maintaining and developing software for demanding industries such as health, gaming, finance, legal, marketing and compliance.
We help our clients design and deploy solutions that are reliable, auditable, and genuinely used in production. Our team combines technical excellence, scientific rigor, and product thinking.
We believe in useful, explainable, and responsible software, that supports the transformation of organizations.
Join us in shaping the future.
Your role
As a Data Engineer, you will play a central role in improving the reliability, industrialization, and governance of the data powering our clients’ AI projects.
You will work at the intersection of:
Data engineering (pipelines, architecture, industrialization),
Data governance (quality, lineage, access rights, lifecycle),
And concrete business needs driving AI use cases (RAG, agents, classical ML).
You will lead a junior Data Engineering squad and contribute actively to architecture and governance decisions. You will operate with a high level of autonomy and responsibility.
Your mission
Client projects
Design and industrialize large-scale data ingestion, transformation, and data quality pipelines.
Structure governance around data sources, including lineage, cataloging, quality, access rights, and lifecycle management.
Mentor junior Data Engineers on industrialization best practices and clean code.
Design robust, maintainable, and scalable data architectures, both cloud-based and on-premises.
Work in constrained environments where security, sovereignty, and regulatory requirements are critical, including the public sector, banking, luxury, and healthcare.
Collaborate closely with Data Science and AI teams to ensure the quality of the data used by models and agents.
Example projects
Strengthening and governing dozens of document sources for a major public-sector organization, powering large-scale RAG and AI agent use cases.
Industrializing data pipelines for a leading European bank’s generative AI platform, including financial analysis agents and credit memo workflows.
Structuring a luxury brand’s product catalog to power in-store recommendation agents.
R&D and knowledge sharing
Contribute to ConsultingIT’s frameworks and best practices around industrialization, data testing, and monitoring.
Provide technical guidance to junior and mid-level profiles.
Participate in our R&D efforts around data governance in agentic architectures.
Required profile
Technical skills
Experience in Data Engineering on production-grade, industrialized projects.
Strong command of Python and advanced SQL queries.
Experience with orchestration tools such as Airflow, dbt, Prefect, or equivalent.
Hands-on experience with one or more data warehouses/lakes such as Microsoft SQL Server, Microsoft Fabric, Dremio, BigQuery, Databricks, Redshift, EDBPostgreSQL etc.
Solid understanding and practical experience with dimensional modeling or data mesh.
Experience in data governance, including lineage, cataloging (DataHub, Amundsen, or equivalent), data quality, and access management.
Experience with cloud platforms (AWS, GCP, Azure) and/or constrained on-premise environments.
Good DevOps practices: Docker, CI/CD, testing, and monitoring.
Ability to design large-scale, robust, and scalable data architectures.
Mindset and soft skills
Comfortable working in high-standard, high-rigor environments.
Strong focus on quality, traceability, and governance.
Excellent communication skills, with the ability to structure ideas, build arguments, and explain concepts to both technical and non-technical audiences.
Autonomy, prioritization skills, and curiosity.
Team-oriented, collaborative, and eager to share knowledge.
Why apply
An entrepreneurial environment with direct impact and strong project visibility.
Diverse and demanding missions with prestigious clients across the public sector, finance, and luxury industries.
A strategic role at the intersection of Data Engineering and AI in production.
Close support from experienced senior profiles.
High autonomy and the opportunity to influence strategic decisions.
Flexible remote work, up to 4 days per week, plus access to WeWork offices in central Paris.
Performance bonus.
Ongoing training, conferences, and active industry monitoring.
Type de contrat : CDI ou Freelance
Cette fiche de poste est issue d'un partenaire et n'engage en aucune façon ni ConsultingIT ni LGHM.
Pour candidater: remplissez ce formulaire ou envoyez un email avec CV et lettre de motivation à candidature @ consultingit.fr (enlever les espaces avant et après l'arobase):