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Artefact

Senior AI & Agentic Engineer – Expression of Interest (Future Opportunities)

Remote · Senior · Remote

Older listing - lower visibility likelyVerified listingPosted 31d ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

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Skills required

14 listed
Azure Data FactoryCI/CDValue ChainAWS GlueApache AirflowContinuous IntegrationData RetrievalSQL (Programming Language)+6 more
Azure Data FactoryCI/CDValue ChainAWS GlueApache Airflow

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Job description

Expression of Interest – Future Opportunities

We’re building a pipeline of talented professionals interested in future opportunities with Artefact. This posting is for resume collection and does not represent an immediate vacancy. We welcome you to share your resume, and our recruiting team may reach out as opportunities aligned with your experience become available.

Who We Are

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.

Find out more at artefact.com.

Our Opportunity

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 our values 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.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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