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Working Student – Data Engineering

datavent.io

Role overview

Qualifications

  • Current enrollment in computer science, data science, business informatics, mathematics, or a related degree
  • Hands-on practical expertise in Python, databases, and data pipelines
  • Good English communication skills
  • A thoughtful approach to debugging and a willingness to ask questions

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Communication
  • Curiosity

About the company

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datavent.io

Data Analytics & Business Intelligence

We start with one use case, fixed in scope, and take it live in 6–8 weeks through our Production Sprint. From there we extend it into a production data and AI platform and keep that platform running. What we do: • Production Sprint: one AI use case in production in 6–8 weeks • Data & AI Platform Build: lakehouse and warehouse modernisation, ETL/ELT and migration from legacy systems • Production AI Systems: RAG, document intelligence and AI agents on governed enterprise data • On-prem RAG & AI Agents: open-source LLMs on servers in your own environment • Managed Data & AI Platform: ongoing operation with engineer-reviewed changes • Intelligent DataOps: a self-healing pipeline agent that diagnoses failures and proposes each fix as a pull request for an engineer to approve Selected results: • Pipeline issue resolution cut from 6–8 hours to 30 minutes • New-customer onboarding on a multi-tenant analytics platform cut from four weeks to five minutes • 70% less manual documentation work with document intelligence on an on-prem GPU server Everything we build runs in your cloud account or data centre, on your stack, with no proprietary lock-in. Your team can own and operate it. AgentixLake is an AWS Partner and an Anthropic Certified Solutions Partner, serving clients in the DACH and Gulf regions.

Company details

Company typeTPE
IndustryData Analytics & Business Intelligence
Company size2 - 10

Links

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Job description

AgentixLake GmbH · Hamburg, Germany
Remote within Germany · 15–20 hours per week · Working student / Werkstudent

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

  • Current enrollment in computer science, data science, business informatics, mathematics, or a related degree.

  • 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 Germany, with hours coordinated around your studies.

  • 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

Send your CV, your field of study, expected graduation date, and weekly availability. Include a university or personal project if you have one—a short explanation is enough.

We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.

Learn more at https://agentixlake.com/

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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