Job
In this role, you will develop pipelines and data models, handle transformations, optimize workflows, and ensure data quality for analytical applications in a cloud environment.
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Job technologies
Your role in the team
- Build the pipelines and data models that people can depend on.
- You will own defined components of our data engineering projects, from understanding a source system to delivering tested transformations and monitoring how they run.
- Our data platform engineering work connects operational systems with analytics and AI applications.
- Depending on the project, you will work with cloud data warehouses, lakehouse architectures, and the data quality and reliability practices that support production use.
- Build Python and SQL pipelines to ingest and transform data from APIs, databases, files, or event sources.
- Develop data models and dbt transformations with clear definitions, tests, and documentation.
- Implement incremental processing, schema checks, and reconciliation so that changes and data issues are visible.
- Configure orchestration and monitoring; investigate failed runs and improve recovery and troubleshooting.
- Contribute to cloud data platform components, infrastructure configuration and deployment workflows.
- Use Git, pull requests, and code reviews to deliver maintainable changes and explain their impact on downstream users.
Our expectations of you
Education
- Current university enrolment in computer science, data science, business informatics or a related technical discipline.
Qualifications
- Strong SQL skills and practical Python experience, backed by pipelines or data models you’ve built and maintained for real users or team workflows.
- A sound understanding of data modelling, incremental loads, data quality and the operational behaviour of scheduled pipelines.
- The ability to own a well-scoped deliverable, investigate problems systematically and communicate clearly in English.
Experience
- Experience with version control and testing, plus practical exposure to a cloud platform, warehouse or orchestration tool.
- Experience with dbt, Airflow, Dagster, AWS, Snowflake, Databricks, BigQuery, Apache Iceberg, or Terraform is valuable. You don’t need experience with every technology; show us where you’ve developed depth.
What we offer
- You will work on data systems with clear users and delivery requirements, collaborate directly with experienced engineers and the founders, and receive substantive code review.
- Your part-time responsibilities and schedule will be planned around your studies.
Topics you will work on
Job locations
About your employer
AgentixLake GmbH, based in Hamburg, is an advanced company specializing in the development and operation of data platforms, cloud infrastructures, and AI systems. Their offerings include solutions for data analysis, business intelligence, and digital transformation.
- Startup
- Onsite
- Internet, IT, Telecommunication
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