Senior Data Architect responsible for building data infrastructure at Trexquant, integrating diverse datasets for research and simulation applications. Collaborating with teams to enhance data accessibility and quality.
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
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