Senior Data Engineer

Responsibilities

You will build and maintain Python and SQL pipelines to ingest, transform, and validate data for analytics and AI applications. Additionally, you will implement data quality checks, monitoring, and documentation to ensure reliable data platform operations.

Requirements

The role requires hands-on practical expertise in Python, databases, and data pipelines. Candidates should possess strong fundamentals, a thoughtful approach to debugging, and good English communication skills.

Skills

• Python
• SQL
• Data Engineering
• Data Pipelines
• Cloud Platforms
• AWS
• Dbt
• Airflow
• Docker
• Snowflake
• Databricks
• Apache Iceberg
• Data Modeling
• Data Quality
• Git
• Debugging

About this role

AgentixLake GmbH · Hamburg, Germany
Remote within UAE
About AgentixLake
https://www.linkedin.com/company/agentixlake/
Build the data foundations that make AI useful.
How does data get from an operational system into a reliable dashboard—or become trustworthy input for an AI application?
At AgentixLake, we build those foundations. We’re looking for a Working Student in Data Engineering who enjoys Python, SQL, and understanding how systems fit together.
About AgentixLake
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.
What you’ll work on
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.
You’ll start with real tasks and take ownership from day one.
What you bring
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 aren't 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.
What you can expect
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 https://www.linkedin.com/company/agentixlake/ 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 https://agentixlake.com/

About AgentixLake GmbH

Data Infrastructure and Analytics · 2-10 employees · headquartered in Hamburg · founded 2024