Data Engineer Palantir Foundry - Confirmé/senior (H/F)

Data Engineer Palantir Foundry - Confirmé/Senior

Talan is an international consulting group in transformation and innovation through technology, created in 2002. Our consultants share around the world the audacity to innovate, the taste for excellence, and the desire to meet the most complex challenges in various sectors such as energy, industry, transport, finance, and the public sector.

Our values: engagement, respect, sharing, team spirit, and optimism. Talan is a responsible company, recognized by its employees and committed to diversity. Accommodations can be offered if you are in a situation of disability.

We accompany local actors in the main sectors of our region (Banking-Insurance, Aeronautics, Energy, Public…).

The Data Pole, with a dozen consultants, accompanies its clients to meet the major challenges of creating value for their organizations through our expertise in advice (data governance, framing, acculturation, ...) and technological (architecture, ingestion and transformation, restitution and analysis, AI, ...).

As a Data Engineer Consultant specialized in Palantir Foundry, you are on mission with our clients or on project mode in our premises. You are responsible for the conception, implementation, and maintenance of data pipelines while ensuring their quality and reliability throughout their lifecycle.

Your main missions:

• Contribute to the conception and implementation of modern data platforms
• Industrialize and optimize technical solutions
• Develop and maintain efficient data pipelines from sourcing to visualization
• Ensure the quality and security of data throughout their lifecycle
• Collaborate with business teams to understand needs and provide adapted data solutions
• Evaluate and recommend emerging technologies to improve platform data capabilities

In the following technical environment (this list is not exhaustive and especially indicates the technologies that we are interested in and that correspond to our clients' projects):

• Language: Python, SQL
• Database: Relational and non-relational
• Environment: Palantir Foundry (preferably), Snowflake, DataBricks, Fabric,…
• Cloud: GCP Big Query, AWS Glue, and Azure Data Factory
• OPS: Ansible, Git, Jenkins, Docker, Kubernetes, or Azure DevOps

Holder of a higher education in computer science at level Bac+5, you have significant experience of at least 4 years on projects of conception or maintenance of data platform.

You master the Palantir Foundry platform and have a good understanding of databases and data architecture.

Comfortable with client relations, you are able to understand client needs and propose adapted solutions.

Your qualities:

• You do not hesitate to go towards others and are able to work in synergy with teams, promoting collective intelligence to achieve common objectives.
• You are autonomous in the realization of your missions and you show adaptability, curiosity, analysis, and a good ability to stay up to date.
• Your rigor in documentation and your methodical approach are essential to guarantee the quality and precision of our work.
• You want to accompany and mentor your colleagues, to help them develop their skills and reach their full potential.

Our advantages, in addition to the restaurant ticket card and 50% public transport subscription:

• Modern premises in Toulouse near the city center
• Hybrid organization between teleworking and on-site according to our clients' projects
• 80% covered mutual
• Employee share ownership
• Vacation bonus
• A wide range of training offers (more than 1,500 training catalog)
• Return from maternity leave possible at 4/5 without loss of salary for 6 months

The recruitment team commits to offering you a fast and smooth recruitment process:

1. A first exchange of 30 to 45 minutes with Quentin, recruiter, to present the position and understand your professional project,
2. An online technical test that will serve as a basis for discussion for the following interview,
3. An interview with the Data Pole manager,
4. A final exchange with the Data Regions director.