Senior Data Engineer at Electromobility

Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity.

Electromobility is changing the automotive world, and we are now looking for you who want to be part of this change happening in our industry! The Electromobility organization is responsible for the complete development lifecycle of our electric powertrains – from advanced engineering through product development into the maintenance phase. Together we drive the transition from conventional powertrains to electromobility based on cutting-edge engineering, state-of-the-art research, and well-proven technology within the Volvo Group. By joining us, you’ll be part of a global and diverse team of highly skilled professionals who work with passion, trust each other, and embrace change to stay ahead. We make our customers win.  
Are you passionate about creating sustainable transport solutions? We're looking for a skilled Data Engineer to join our dynamic team and drive change in Electromobility. Strong stakeholder management and communication skills are key to success in this role. At Volvo Group, we constantly innovate to develop energy-efficient, sustainable, and safer transport solutions. Join us on this exciting journey to shape the future of mobility!

We also believe you are a curious person and want to go from idea to practice. You will be involved in developing our products by discovering the information hidden in vast amounts of data from primarily our electrical vehicles. 


Role Summary: 

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines to enhance our analytical and business intelligence capabilities. You’ll work closely with data scientists, analysts, and stakeholders to ensure data quality, accessibility, and security, while troubleshooting and improving data systems. Cross-functional collaboration is key to gathering requirements and delivering data-driven solutions.


Key Responsibilities:


•    Design and build robust, scalable data pipelines using PySpark to process large datasets. 
•    Utilize Python's Object-oriented programming principles to develop clean, reusable, and modular code for various data operations. 
•    Write complex SQL queries to perform data extraction, transformation, and loading (ETL) tasks. 
•    Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. 
•    Maintain data security and compliance with company policies and regulatory standards. 
•    Troubleshoot and debug issues within data pipelines and related applications. 
•    Continuously improve existing systems by integrating new data management technologies and software engineering tools. 
•    Mentor colleagues who want to work with data engineering but have no/less experience.
Role requirements:


•    Bachelor or Master of Science in Data Science, Statistics or Computer Science or related fields. 
•    Minimum 3 years of experience in working within data analytics or relevant areas, in particular as data engineer, preferably within Automative Industry.  
•    Proficient in PySpark, Python (with a strong understanding of object-oriented programming), and SQL. 
•    Experience working with Airflow, github, artifactory etc. 
•    Experience working with open source Bigdata tool stack 
•    Knowledge in Data lake 
•    Experience with data modeling, warehousing, and ETL processes. 
•    Strong analytical skills and ability to work with large, complex data sets. 
•    Excellent problem-solving abilities and detail orientation. 
•    Familiarity with cloud platforms (e.g. Azure), Data bricks and related services is a plus 
•    Understanding of internal Volvo data flow is a bonus


We are look for a proactive team player who thrives on collaboration and sharing ideas. You should have strong problem-solving abilities, an eagerness to innovate, and a keen eye for detail. Effective communication and a commitment to fostering an inclusive, supportive environment are essential. 
We look forward to getting to receive your application! 

Last Application Date: 15 October, 2024

Number of positions: 2

Curious and want to know more about the role?  Please feel free to reach out to me! 

Sina Ghaedian, Group Manager - Data Analytics Team at Electromobility.

E-mail adress: sina.ghaedian@volvo.com


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