Data Engineering

Artefact; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Artefact in Paris is seeking a Senior AI & Agentic Engineer to lead data projects and design scalable pipelines using SQL, Python, Databricks, Snowflake, and cloud services. You will mentor a team of data engineers while enforcing governance and CI/CD best practices.

Ideal candidates have 5-7 years of data engineering experience, strong cloud skills (Azure/AWS), and a proven track record delivering data-driven solutions that drive business impact.

Qualifications

• Bachelor's or Master's in CS/Engineering or related field.
• 5-7 years of data engineering experience with big data tech.
• Strong cloud experience (Azure/AWS) with Databricks and Snowflake.
• Solid CI/CD and DevOps understanding.
• Leadership and multi-project management ability.

Responsabilités

• Design, build, and maintain scalable data pipelines across platforms.
• Lead data engineering teams and ensure data quality and governance.
• Implement CI/CD practices for data pipelines to boost efficiency.
• Collaborate with architects, analysts, and stakeholders on requirements.
• Develop dashboards and reports for business teams.

Connaissances

Leadership

Project management

Communication

Problem solving

Formation

Bachelor's or Master's in CS/Engineering

Outils

Azure Data Factory

AWS Glue

Databricks

Snowflake

Python

SQL

CI/CD

Description du poste

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

We are looking for a Senior AI & Agentic Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organization.
• Optimize data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering

Job Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5-7 years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Extensive experience with cloud services such as Azure Data Factory and AWS Glue.
• Demonstrated experience with Databricks and Snowflake.
• Solid understanding of CI/CD principles and DevOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Strong project management skills and the ability to lead multiple projects simultaneously.
• Excellent problem-solving skills and the ability to work under tight deadlines.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture including data mesh, data lake and data warehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or similar technologies.
• Certifications in Databricks, Snowflake or similar technologies
• Experience in the leading large scale data engineering projects

Why Join Us

We are united by ourvalues and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.