Data Platform Engineer
Volkswagen Group Digital Solutions [Portugal]
Job Overview
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Job Description
Data Platform Engineer - AWS
You’ll be focused in:
- Creating and managing data pipeline architecture for data ingestion, pipeline setup, and data curation.
- Experiencing working with and creating cloud data solutions.
- Assembling large, complex data sets that meet functional/non-functional business requirements.
- Implementing the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL, and AWS big data technologies.
- Building analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Manipulating data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders.
In order to succeed, you’ll need:
- Bachelor's degree in computer science, software engineering, or comparable work experience.
- At least 5 years of experience as a data engineer or software developer, preferably in the automotive sector.
- Experience with AWS CDK Cloud Development Kit.
- Experience with CI/CD pipelines.
- Proficiency in Python, SQL (Any other OOP language is also valuable), PySpark (preferably) or Spark knowledge.
- Proven experience in ETL.
- Strong knowledge of AWS, namely S3, Athena, Lambda, Glue, IAM, SQS, etc.
- Strong communication and analytical skills.
- Great English skills, both written and spoken.
Nice to have:
- Strong experience in Data Lake, Data Warehouse, RDS architectures knowledge.
About The Product:
The Data & Analytics Hub focuses on data processes, bringing insights to the business and contributing to improve MAN Truck & Bus products efficiency in areas related to vehicle engineering & production and sales & after sales.
Company Benefits:
- €1200 to equip your home office.
- Flex allowance: €720/year (€60 per month x12).
- Performance bonus.
- Health insurance extendable to your household.
- Wellbeing program extendable to your household.
- Life insurance.
- Pension fund.
- Smartphone & phone data plan.
- Discounts on VW Group cars and special financing conditions.
Cool Things You’ll Experience In Our Work Environment:
- Tailored remote-friendly setup for every team's vibe!
- Flexible working hours.
- Multicultural reality with +30 different nationalities.
- Pet-friendly environment.
- Boost your career with our internal mobility program, focused on your personal & professional growth.
- Mix and mingle across teams for idea-sharing and bonding.
About VW Group Digital Solutions [Portugal]:
Technology-driven trends such as diverse mobility, electrification, and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as the world leader in the automotive industry, is setting the pace for this revolution. At Volkswagen Group Digital Solutions [Portugal], we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain. Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics, and product portfolio management. Ready to #ExploreNewRoads? Join us! 🚗
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key skills/competency
- Data Platform Engineer
- AWS
- Data Pipeline Architecture
- Data Ingestion
- Data Curation
- ETL
- PySpark
- SQL
- Cloud Data Solutions
- Data Lake
How to Get Hired at Volkswagen Group Digital Solutions [Portugal]
- Tailor your resume: Highlight your 5+ years of data engineering experience, AWS expertise, and PySpark/SQL skills.
- Showcase AWS knowledge: Emphasize your experience with S3, Athena, Lambda, Glue, IAM, and SQS.
- Demonstrate ETL proficiency: Provide examples of successful ETL implementations and data pipeline architecture.
- Highlight automotive experience: If applicable, detail your background in the automotive sector.
- Prepare for technical and behavioral interviews: Be ready to discuss your approach to data challenges and collaboration.
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