Design, build, and maintain ETL and ELT data pipelines across ERP, leasing, e-commerce, and SaaS systems
Develop and operate data workflows using Matillion and Apache Airflow in batch and near real-time
Manage and optimize the data warehouse using Amazon Redshift with a strong focus on performance, reliability, and cost efficiency
Work with relational databases such as MySQL and PostgreSQL
Ensure high data quality through monitoring, logging, alerting, and automated failure handling
Work hands-on with cloud infrastructure including S3, RDS, EC2, Lambda, and CloudWatch
Collaborate closely with analytics, operations, product, and business stakeholders
Contribute to internal tools and operational systems such as procurement, inventory, and reporting
Take end-to-end ownership of data initiatives from idea to production

At least 1 year of experience as a Data Engineer or in a similar role
Strong understanding of data warehousing and ETL or ELT concepts
Strong SQL skills and industry-ready Python experience
Hands-on experience with cloud infrastructure, with AWS preferred; experience with Google Cloud Platform or Microsoft Azure also works well
Educational background in Computer Science, Data Engineering, Data Science, AI, or a related field
Motivated, confident, and proactive personality with a strong ownership and delivery mindset
Fluent in English; Skills in German advantageous

Junior Data Engineer

Key skills