Data Engineer

Human and technology to scale sustainable performance

Founded in 1989, Scalian is a French group with an international dimension, with offices in Europe and North America, specializing in business transformation through its dual mastery of business processes and digital technologies.

In the TOP10 engineering consulting companies in France, the Group is involved in service activities in the management of industrial projects, supply chain (costs, quality, deadlines, performance), architecture and development of embedded digital systems, computer systems applications. Information and Artificial Intelligence.

Scalian also deploys solutions for optimizing projects or the performance of organizations and responds to the challenges of transformation for leaders in industry and the tertiary sector (energy, transport, space, banking, health, environment, etc.).

Are you a Data Engineer looking for a new challenge?

If you want to expand your reach and share your knowledge with a team of professionals, contribute to the development of your colleagues' or Clients' skills, want to consolidate your expertise and grow on innovative projects, this is your opportunity!

What this experience will bring you

First of all, an interesting technical challenge but also an overview of our Client's projects.

We will build your career together and accompany you towards the development of new skills and technical leadership.

Soft skills

- Problem solving
- Good communication skills
- Goal-oriented approach
- Self-Driven
- Proactive to solution
- Teamwork

Languages

- French
- English (fluent, oral and written)

Responsibilities

Collect, process and structure industrial and production data.; Develop and maintain data pipelines and data processing workflows.; Analyse manufacturing data to identify trends, anomalies and optimisation opportunities.; Develop and deploy AI / Machine Learning models for industrial applications.; Use data and AI platforms to support digital manufacturing initiatives.; Collaborate with IT, OT, MES and production teams.

Requirements

Bachelor/Master degree in Data Science, Computer Science, Engineering, Mathematics or equivalent.; 2–5 years of experience in Data Engineering, Data Science or a related field.; Strong knowledge of Python.; Experience with RapidMiner, HighByte and/or ThingWorx.; Experience developing AI / Machine Learning models.; Knowledge of AWS and/or Dataiku.