Data Engineer (Temporary Contract)
Gothenburg, SE, 40531
Volvo Group
13 brands. 105,000 employees. 190 markets. Trucks, buses, construction equipment, marine and industrial engines. Complete solutions for financing and service.Can you engineer a brighter tomorrow?
It’s crystal clear: the actions we take in the next few years will significantly impact our future. At Volvo Cars, we embrace change. We’re committed to transforming the automotive industry and leading in electrification. For this, we’re seeking out more creative minds to shape that future. Don’t miss this opportunity to create your tomorrow.
What you will do
As a Data Engineer, within Quality Data & Analytics you will design, build, and maintain scalable data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lakes. You will collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality. Your role will involve developing and optimizing databases, data models, and schemas to support efficient data storage and retrieval. Implementing data governance and security measures to protect sensitive data and ensure compliance with regulations is also a key part of your responsibilities.
You will monitor data pipelines and performance, troubleshoot issues, and implement improvements to optimize data processing and delivery. Collaborating with cross-functional teams to identify and integrate new data sources and technologies that enhance our data capabilities is essential. Staying up-to-date with emerging technologies and trends in data engineering, and recommending innovative solutions to improve data infrastructure and processes, will be part of your ongoing duties.
Required Skills
• Degree in mathematics, statistics, computer science, or engineering.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with Snowflake
• Experience with data integration and ETL tools
• Knowledge of SQL and experience working with relational databases
• Familiarity with big data technologies and frameworks
• Experience with version control systems, such as Git
• Understanding of cloud platforms and services
• Experience in data modeling and designing efficient data schemas.
• Proficiency in data warehousing concepts and techniques.
• Familiarity with data governance, data security, and compliance practices.
• Strong problem-solving and analytical skills.
What you will bring
• Degree in mathematics, statistics, computer science, or engineering.
• 5+ years in data engineering related fields
Ready to Take the Next Step?
Please submit your application through our career page. Due to GDPR regulations, we’re unable to store or consider applications from other platforms. Make sure to submit your application in English.
For specific questions about the position, please reach out to Hiring Manager Marcus Percival at Marcus.Percival@volvocars.com
Once your application is successfully submitted, you’ll receive a confirmation email. We’re excited to get to know you!
This is a temporary contractual role valid for 1 year.
Volvo Cars – driving change together
Volvo Cars’ success is the result of a collaborative, diverse and inclusive working environment. Today, we’re one of the most well-known and respected car brands, with around 43,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations, so you can reach your fullest potential.
And it’s so exciting – we’re well on our way on our journey towards full electrification. We have five fully electric cars already on the market, and five more on the way. Our fully-electric and plug-in hybrid cars combined make up almost 50 per cent of our sales. So come and join us in shaping the future of mobility. There’s never been a more rewarding time to play your part in our inspiring and creative teams!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data governance Data pipelines Data warehouse Data Warehousing Engineering ETL Git Java Mathematics Pipelines Python RDBMS Scala Security Snowflake SQL Statistics
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