Data Engineer

Stellantis; Torino; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading automotive company in Torino is seeking a Data Engineer to establish data infrastructure and promote best practices in data management. The role involves designing and implementing scalable data services and collaborating with teams to process connectivity data. Candidates should have a strong background in SQL and Python, alongside experience in data applications and cloud platforms. Join us in shaping innovative mobility solutions.

Competenze

• 2+ years of experience in data engineering and software development life cycle.
• Experience in building and maintaining production data applications.
• Hands-on experience in relational and distributed columnar data stores.

Mansioni

• Design and implement secure, scalable data services for connected vehicle data.
• Work with external stakeholders to ingest connectivity data for processing.
• Develop code and establish software development culture and standards.

Conoscenze

SQL

Python

Spark

Cloud Big Data platforms

Formazione

BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline

Strumenti

Airflow

Kafka

AWS Redshift

Google BigQuery

Azure Data Warehouse

Descrizione del lavoro

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The Global Analytics & Data Products Team is looking for a Data Engineer to join our team. Your mission is to establish the organization’s data infrastructure, promoting engineering best practices on data management, and keeping the high bar for data quality.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:

• Design and implement secure, scalable, high-performance and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies.
• Design, extend, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the software development life cycle.
• Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies.
• Work with external carrier stakeholders and internal partner teams to ingest connectivity data for data processing.
• Develop state of the art code – influence/establish the software development culture of the team. Establish standards and best practice for instrumentation within software engineering.
• Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.

Top Performers will be able to demonstrate

• Comprehensive knowledge of relational database concepts, including; data architecture, operational data stores, Interface processes, Multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Experience of working on cross-functional teams and leading efforts to build data services from ground up
• Excellent communication skills with the ability to understand complex business problems and provide solutions.

Skills

• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred
• 2+ years of experience in the data engineering and software development life cycle.
• 2+years of hands-on experience in building and maintaining production data applications, current experience in both relational and distributed columnar data stores.
• Experience using SQL, Python, and Spark
• Experience working with cloud Big Data platforms (i.e. AWS Redshift, Google BigQuery, Azure Data Warehouse, etc.)
• Familiarity with time series database, data streaming applications, Kafka, Flink, and more
• Experience with workflow management engines (i.e. Airflow, Luigi, Azure Data Factory, etc.)
• Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.
• Experience with more than one coding language.
• Experience with designing and implementing real-time pipelines.
• Experience with data quality and validation.
• Experience with SQL performance tuning and E2E process optimization.
• Experience with notebook-based Data Science workflow.
• Experience with Airflow.

Your Platform

A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.

Our World

Great mobility solutions start with great people! This is an exciting time to join us!

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.

Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Motor Vehicle Manufacturing

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Note: This description reflects the current job posting and does not constitute a guarantee of employment.