Working Student Data Engineer, Python, SQL & Cloud Platforms
AgentixLake GmbH is hiring for the position of Working Student Data Engineer, Python, SQL & Cloud Platforms as a remote role open to applicants in Germany. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
AgentixLake GmbH is hiring for the position of Working Student Data Engineer, Python, SQL & Cloud Platforms as a remote role open to applicants in Germany. It is listed as a full-time position.
Reading the advert, the employer asks for English language skills.
Skills and tools named in the text include Python, SQL, Snowflake, dbt, Airflow, Databricks, AWS and Terraform.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Dev Global Jobs found this job on Arbeitnow on Oct 30, 2026; the apply link was last checked on Nov 2, 2026.
- Employer
- AgentixLake GmbH
- Location
- Remote (Germany)
- Job type
- Full-time
- Pay
- Not stated by the employer
- Languages asked
- English
- Found
- Oct 30, 2026 on Arbeitnow
- Employer text
- 532 words, about 2 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, SQL, Snowflake and dbt) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
Answered at our last check on Nov 2, 2026.
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01IMPORTANT Application note
Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you.
02About AgentixLake
AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities.
03Your role
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 warehouses, lakehouse architectures and the data quality and reliability practices that support production use.
04What you will do
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 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 review to deliver maintainable changes and explain their impact on downstream users.
05What you bring
Current university enrolment in computer science, data science, business informatics or a related technical discipline.
Strong SQL and practical Python, supported by pipelines or data models you have built and maintained for actual users or team workflows.
A sound understanding of data modelling, incremental loads, data quality and the operational behaviour of scheduled pipelines.
Experience with version control and testing, plus practical exposure to a cloud platform, warehouse or orchestration tool.
The ability to own a well-scoped deliverable, investigate problems systematically and communicate clearly in English.
Experience with dbt, Airflow, Dagster, AWS, Snowflake, Databricks, BigQuery, Apache Iceberg or Terraform is valuable. You do not need experience with every technology; show us where you have developed depth.
06What you can expect
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.
07How to apply
Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Describe one pipeline or data model you delivered, the decisions you owned and how you tested or improved its reliability. An anonymised example is welcome; please do not share confidential client material.
We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you.
08Stay connected
Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions.
LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/
Website: https://agentixlake.com/
Explore our AWS data and AI platform work: https://agentixlake.com/platform-aws
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