About the Position

Job Title: Data Engineer H/F

Location: Marseille, France

Type of Contract: Full-time

Starting Salary: From 40k€

Start Date: As soon as possible - manageable notice period

Experience Required: Minimum 3 years

Description of the Company

In the TOP10 of Engineering Consulting Firms in France, the SCALIAN Group provides services in industrial project management, supply chain, architecture, and the development of embedded digital systems, information systems applications, and artificial intelligence in sectors as varied as aerospace, space, automotive, rail, services, luxury, and retail, etc.

Founded in 1989, SCALIAN now has over 5,500 employees in 11 countries and 15 locations in France, with a turnover of 550 million euros. SCALIAN works for major CAC40 Groups on projects in AT or at a fixed rate.

Certified as a Great Place to Work, SCALIAN experiences 20% growth each year.

Why SCALIAN?

Because SCALIAN supports you in your career development: comprehensive onboarding program over 1 year with your manager and HR, personalized training programs, technical communities, internal events
Because SCALIAN promotes Quality of Life at Work: Great Place to Work® and Best Workplaces for Women certifications, referral bonus, vacation bonus, telework agreement
Because SCALIAN develops a concrete and ambitious CSR policy: sustainable mobility, environmental actions, disability actions (approved agreement, inclusive recruitment process, training for managers and recruiters, disability mission with dedicated time).

Job Description

Job Offer: Data Engineer H/F

Main Context of the Mission:

As part of the structuring and modernization of its data platform, our client – a major account in the region – is strengthening its teams and is looking for an experienced Data Engineer.

You will work on high-volume data projects, in an international environment requiring a good level of English (regular exchanges with teams abroad).

Responsibilities

Design, develop, and maintain data pipelines (batch and real-time)
Participate in the implementation and evolution of data architectures (Data Lake, Data Warehouse)
Ensure the quality, reliability, and availability of data
Optimize the performance of data processing and flows
Collaborate with Data, BI, and business teams to meet analytical needs
Participate in technical choices and good development practices
Document flows and ensure their maintainability

Technical Environment

Python / SQL
Spark / Databricks
Airflow
Cloud (AWS / Azure / GCP)
Data storage and processing tools

Requirements

Significant experience (3 to 7 years minimum) in Data Engineering
Proficiency in Python and SQL
Good knowledge of Big Data environments (Spark, Hadoop…)
Experience with orchestration tools (Airflow, etc.)
Knowledge of cloud environments (AWS, Azure, or GCP)
Professional English (written and spoken) is mandatory
Analytical mind, rigor, and ability to work in a team

Additional Information

Additional Information

Annualization agreement of working time (9 to 10 days of RTT)
Telecommuting agreement
Meal vouchers
Group health insurance and life insurance
Vacation bonuses
Participation agreement
Salary savings and retirement plans
Time savings account
Parental support (cradles in daycare)
Electric bike financing and bicycle mileage allowance
Referral program and business referral (bonus of 1000 to 1500€ gross)
Employee benefits (holiday vouchers, preferential rates, quarterly subsidies, gift vouchers,...)