AgentixLake GmbH Hamburg Germany
Remote within UAE
About AgentixLake
the data foundations that make AI useful.
How does data get from an operational system into a reliable dashboardor become trustworthy input for an AI application
At AgentixLake we build those foundations. Were looking for a Working Student in Data Engineering who enjoys Python SQL and understanding how systems fit together.
AgentixLake is a Hamburg-based data and AI engineering company. We build production-grade data platforms and AI systems on our customers cloud and on-premises infrastructure.
Our work brings together data platform engineering lakehouse architecture AI agents document intelligence and reliable operations. We are an AWS and Anthropic Certified Services Partner.
Working alongside experienced engineers you will:
Help build Python and SQL pipelines that ingest transform and validate data from APIs databases and files.
Develop data models and transformations for analytics and AI applications.
Add data quality checks automated tests and monitoring to make pipelines more reliable.
Investigate pipeline failures and help improve logging and troubleshooting.
Contribute to cloud data platforms and lakehouse projects depending on the engagement.
Document your work and collaborate through Git pull requests and code reviews.
Youll start with real tasks and take ownership from day one.
Hands-on practical expertise in Python databases and data pipelines.
A thoughtful approach to debugging and a willingness to ask questions.
Good English communication skills.
AWS dbt Airflow Docker Snowflake Databricks and Apache Iceberg arent just buzzwords for you.
You do not need to know our entire stack. We value strong fundamentals curiosity and evidence that you enjoy building things.
Remote work within United Arab Emirates.
Exposure to modern cloud platforms data architecture and the foundations of production AI.
A small team where you can contribute ideas and understand the impact of your work.
Follow our journey
Follow AgentixLake on LinkedIn for updates engineering insights and future opportunities.
Apply
We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.
Learn more at
Employment Type : Employee
Experience: years
Vacancy: 1
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