Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Cloud Data Engineer implementing customized solutions for Volkswagen in AWS data processing. Collaborating closely with experts and engaging in continuous learning.
Responsibilities
- Implement tailored solutions for our client within the Volkswagen Group for (real-time) processing and provisioning of data in the AWS environment
- Build ETL and ELT pipelines to supply analytics and machine learning applications
- Work in close collaboration with experts in your team and on the client side
- Stay at the cutting edge of technology and be willing to continuously develop your skills in cloud computing and data architecture
Requirements
- Degree in (business) computer science, electrical engineering, or a related field (or demonstrably equivalent qualification)
- Solid knowledge and experience in data provisioning and transformation
- Experience with AWS services and tools such as Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, AWS Step Functions, etc.
- Broad understanding of database concepts and technologies, including relational and NoSQL databases
- Hands-on experience with ETL/ELT tools and frameworks such as Apache Spark, Apache Airflow, AWS Glue and/or AWS Data Pipeline, Data Build Tools (e.g. dbt)
- Knowledge of data modeling and optimization for analytics and machine learning applications
- Experience programming in languages such as Python, Scala and/or similar languages
- Familiarity with common big data technologies and concepts such as Hadoop, Hive, MapReduce, Apache Kafka, as well as streaming technologies like Kinesis, Apache Flink and/or similar (desirable)
- Experience implementing and managing data pipelines and workflows
- Experience with DevOps practices and tools such as GitHub Actions/Workflows, AWS CDK, Terraform
- Ability to analyze data issues and develop effective solutions
- Experience with collaboration tools such as Confluence and Jira
- Excellent communication skills and the ability to convey technical information clearly
- Good understanding of business processes and requirements in the automotive sector (desirable)
Benefits
- Company car
- Stock participation and retirement plans
- 3 months continued salary payment in case of illness
- Company bike (JobRad)
- Home office equipment
- 8 days of training per year
- Accident insurance
- Free drinks
- After-work events (e.g. laser tag, bowling)
- Public transport and childcare subsidies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.