Data Management Specialist

Ekkiden; France; À distance; EUR 55 000 - 75 000; Plein temps

Résumé du poste

An international consulting group in France is seeking an experienced Data Management Specialist to support the design and deployment of cloud-enabled data platforms for enterprise-scale analytics. You will work with a multidisciplinary team to build scalable architectures and ensure high-quality data delivery. The ideal candidate has strong data engineering skills, multi-cloud experience, and expertise in Azure, AWS, and GCP. This position offers opportunities for career growth and a positive work culture.

Prestations

Health insurance

Career path tailored to you

Autonomy in driving initiatives

Management opportunities

Qualifications

• Minimum 5 years of experience delivering cloud data solutions.
• Strong expertise in Azure, AWS, or GCP.
• Experience designing and implementing Data Lakes.

Responsabilités

• Design and implement modern, scalable cloud-based data pipelines.
• Collaborate with teams to ensure coherent platform deployment.
• Monitor data quality and implement validation frameworks.

Connaissances

Data Engineering

Multi-cloud experience

Azure

AWS

GCP

ETL/ELT

Data architecture

CI/CD pipelines

Documentation

Scripting (Python, PowerShell, Bash)

Formation

Bachelor's or Master's degree in Computer Science or related field

Outils

Azure Data Factory

Databricks

Terraform

Description du poste

An international consulting group founded in 2019, Ekkiden fosters an ecosystem of passionate and committed consultants who lead organizational, operational, and technological transformation projects in IT/Digital, Industry/R&D, and Sustainability for large companies and SMEs in France, Switzerland, Spain, and Germany.

We are looking for an experienced Data Management Specialist to support the design, development, and deployment of modern cloud-enabled data platforms for enterprise‑scale analytics, BI, and AI initiatives. As part of UNICC’s Data & AI practice, you will work with a multidisciplinary team to build scalable data architectures, develop secure and automated data pipelines, and ensure high‑quality data delivery across hybrid and multi‑cloud environments. This role requires strong data engineering skills, multi‑cloud experience, and expertise in modern data ecosystems including Microsoft Fabric, Azure, AWS, and GCP.

Essential

• Design and implement modern, scalable, cloud-based data pipelines and architectures
• Validate, refine, and deploy data platform components using Azure, Microsoft Fabric, and related cloud services
• Build modular data transformation and orchestration code (DBT, PySpark, SQL)
• Create ETL/ELT pipelines ingesting structured and semi-structured data (APIs, files, databases)
• Integrate data from external systems, SQL repositories, and cloud data services
• Implement and monitor data quality rules and validation frameworks
• Apply best practices for identity management, RBAC, secrets management, and security controls
• Support IaC automation using tools like Terraform
• Automate CI/CD pipelines using Azure DevOps or equivalent tools
• Collaborate with architects, BI engineers, DevOps specialists, and other teams to ensure coherent platform deployment
• Produce documentation, runbooks, training materials, and handover packages
• Support cost optimization strategies and platform monitoring processes
• Ensure alignment with data governance, metadata management, and lineage frameworks (Purview or equivalent)

Desirable

• Minimum 5 years of experience as a Data Engineer delivering cloud and on-premises data solutions
• Strong expertise in at least one major cloud (Azure, AWS, or GCP) with working knowledge across others
• Experience with Azure Data Factory, Databricks, Synapse, Logic Apps, or similar cloud-native services
• Proficiency with Python, PySpark, Spark SQL, and SQL-based transformation languages
• Experience designing and implementing Data Lakes, Delta Lakes, and modern storage solutions
• Strong understanding of data architecture, data modeling, and distributed data platforms
• Experience with ETL/ELT pipelines across cloud environments
• Knowledge of BI tools (Power BI, Tableau, SSIS/SSRS/SSAS) is a plus
• Experience with Terraform, Jenkins, GitHub Actions, or other DevOps/DataOps tools
• Strong scripting skills (PowerShell, Bash, Python)
• Experience implementing CI/CD pipelines and version control best practices
• Understanding of hybrid cloud and on-premises integration patterns
• Exposure to data governance or metadata management tools (Purview or open-source equivalents)
• Strong communication skills and ability to work in distributed, multicultural teams
• Ability to manage multiple concurrent projects and work independently
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, IT, or similar fields
• Relevant certifications such as Azure Data Engineer Associate, DP‑500, AWS Data Analytics Specialty, or GCP Data Engineer (nice to have)

What we offer?

• 🤝 Join us and make your mark in a fast-growing organization
• 🚀 A wide variety of projects that will allow you to have a real impact on the company
• 💪 The ability to work autonomously and drive new initiatives
• ✨ A career path tailored to you, both in terms of responsibilities and location
• 👍 A strong culture based on sharing, respect, ambition, and team spirit
• 🙌 The opportunity to manage teams and develop your area of expertise by leading one of our squads
• 👩 Develop your management and leadership skills, because at Ekkiden consultants are responsible for the careers of other consultants
• ❤ Health insurance

What is the hiring process like at Ekkiden?

At Ekkiden, we are committed to providing a positive experience for every candidate.

Initial call: Our recruitment team will contact you to discuss your motivations and expectations.

Interviews: You will have one or two interviews with our business managers, depending on the position you are applying for.

Meeting with the client: Finally, you will have the chance to meet the client.

Although this is our standard process, we can adapt it based on specific circumstances.

You can also find all our job offers on our website.