Offer summary

Qualifications:

Bachelor of Science in Engineering or advanced technical degree in a related field., Experience in Big Data technologies such as SnowFlake and DataBricks., Proficiency in SQL and Python, with knowledge of data modeling., Strong leadership, communication, and organizational skills, with a high level of English proficiency..

Key responsibilities:

Own specific processes and applications within the Product Development Process.

Collaborate with cross-functional teams including IT, Manufacturing, Finance, and Supply Chain.

Drive uniformity in the creation and refinement of processes and applications.

Present and communicate effectively with all levels of management.

Job description

Company Description

Expand your playgroung with a fast-growing global engineering group. At SEGULA Technologies, you will have the opportunity to work on exciting projects and shape the future within a company for which innovation is inseparable from engineering. New forms of mobility, autonomous vehicles, the factory of the future, augmented reality... these are the daily concerns of our 15,000 ingenious talents in over 30 countries.

Whether you are a student, a recent graduate or experienced, an engineer or a project manager, at SEGULA you will find the opportunity that will give new meaning to your career. Make your move, Join us !

Job Description

Data Engineer

Owns specific processes and applications within the overall Product Development Process. Their primary role is to work within Engineering and with cross functional organizations such as IT, Manufacturing, Finance, Purchasing and Supply Chain to drive uniformity in the creation and refinement of the processes and applications they own.

Qualifications

Experience in BIG DATA and software developing SQL, Python, Snowflake, DataBricks, Power BI, JAVA

Qualifications

REQUIREMENTS

Bachelor of Science in Engineering
Big Data Experience with one or both: SnowFlake, DataBricks
Languages: SQL, Python
Data Modeling
Tool Experience with one or more of the following: MS 365/Teams, SharePoint, Power BI, PowerApps, Power Automate, Palantir Foundry, AWS, Azure
Demonstrated excellent leadership, interpersonal, written/verbal communication, and organizational skills
Ability to communicate and present to all levels of Management
Self-starter with a "will do" attitude
High level of proficiency in English.

PREFERRED QUALIFICATIONS:

Advanced technical degree such as Data Science, Business Analytics, Computer Systems Analysts, Computer Science, Information Technology or equivalent
Business Intelligence, Data Analytics, Data Engineering, or Data Science experience
Process Mapping, Business Requirements Writing, Process Documentation
Highly capable in Microsoft Office Suite (PowerPoint, Excel, Word)
Frameworks: Spark, Hadoop

Engineering Process Experience (such as): Planning, Sourcing, Validation, Quality, Manufacturing, Logistics, Program Management.