Data Engineer Digital Transformation

New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Forvia anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If youre willing to contribute and create value for tomorrow’s cleaner and smarter mobility, Forvia is the place to be.

Faurecia Clarion Electronics - Digital Transformation Organization at Forvia is a key team in our ongoing strategic transformation into a “Digital Enterprise” and plays a major role in driving & improving efficient service and support that ensures our business succeeds in our fast-moving world.

FCE Digital Transformation Organization is a fast-growing team in charge of providing and developing advanced data solutions in domains from development to manufacturing to improved excellence and efficiency as well as for smart product development for the automotive industry.

The essential responsibilities and duties

Data Engineer will work on collecting, storing, processing, analyzing of huge sets of data, and help us make smarter decisions about strategically important topics for FCE: from Automotive Mobility Experience to develop the right solutions to internal teams. Data engineer will be working hand in hand with the global team (development, manufacturing, quality, sales, purchase...) to propose optimal data solutions and test them together with team. Data engineer will get the insight of the Faurecia Clarions Electronics product development, manufacturing process & operations insight. Primary focus will be implementing data solutions in either Palantir Foundry platform or for specific AI solutions developed internally or with partners.

Qualifications and skills

Level 1 (3 to 5 years of experience)

• Data Mining from structured, semi-structure & unstructured data sources.
• Implement data flows and set up automation between various data sources.
• Help in building large-scale batch and real-time data pipelines with data processing frameworks like PySpark and Spark.
• Ensure data quality, interpret & analyse the data problems.
• Develop, construct, test and maintain pipelines.
• Maintain data documentation and definitions.
• Perform feasibility studies to drive the business users toward the best technical solutions
• Contribute to functional analysis with the business users and translate user’s needs into structured “Data Pipelines”
• Prepare data for predictive and prescriptive modelling and Develop data set processes
• Elaborate solution mock-up in agile manner together with the business users
• Develop and test each solution component toward its industrialization
• Contribute to the evolution of the Data platform, elaborate system improvements, design innovative solutions, define best practices to ensure the platform remains sustainable
• Work with Agile and DevOps techniques to deliver solutions in a timely manner
• Keep constant track of new tools and potential obsolete ones through a technological watch
• Contribute to use cases industrialization initiatives and actions plan
• Share expertise with other team members to facilitate knowledge transfer, lead internal investment projects
• Communicate across departments and understand what drives the requirements of the functional leaders, business team.
• Collaborate well with others including considering others’ perspectives on methodologies and technologies

Level 2 (1 to 3 years of experience)

• Data Mining from structured, semi-structure & unstructured data sources.
• Implement data flows and set up automation between various data sources.
• Help in building large-scale batch and real-time data pipelines with data processing frameworks like PySpark and Spark.
• Ensure data quality, interpret & analyse the data problems.
• Develop, construct, test and maintain pipelines.
• Maintain data documentation and definitions.

Appreciated extra skills

• Bachelors/master’s degree in computer science engineering.
• Experience in Big Data solutions, with wide knowledge of BI & Big Data tools, and IT & Cloud environments.
• Hands on experience on Pyspark/Pythonr
• Good knowledge of PL SQL/SQL.
• Knowledge on Agile Software Development methodologies
• Curious and creative mind, able to turn data into compelling storylines
• Excellent oral and written communication skills
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Fluent English (verbal and written)