Working Student – Data Engineering

Job not on LinkedIn

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🇩🇪 Germany – Remote

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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datavent.io

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤝 B2B

🤖 Artificial Intelligence

💼 Consulting

B2B • Artificial Intelligence • Consulting

datavent. io is a B2B data engineering and platform consulting firm that builds cloud-native, AI-ready data platforms and lakehouse architectures for analytics and production AI. They deliver end-to-end services — architecture, ingestion, transformation, modeling, MLOps/RAG pipelines, vector stores/feature stores, and ongoing platform stewardship — on customers' clouds and stacks (AWS, GCP, Azure, Snowflake, Databricks or on-prem) with a no-vendor-lock-in approach. The company emphasizes production outcomes (ship production pipelines, not prototypes), rapid delivery, and integrations across many data sources for enterprises in industries like banking, telecom, manufacturing and B2B SaaS.

📋 Description

• 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 • Investigate pipeline failures and improve logging and troubleshooting • Contribute to cloud data platforms and lakehouse projects • Document work and collaborate through Git, pull requests, and code reviews • Take ownership of real tasks from day one

🎯 Requirements

• Current enrollment in computer science, data science, business informatics, mathematics, or a related degree • Hands-on practical expertise in Python, databases, and data pipelines • Thoughtful approach to debugging and willingness to ask questions • Good English communication skills • Familiarity with AWS, dbt, Airflow, Docker, Snowflake, Databricks, and Apache Iceberg • 15–20 hours per week availability • CV, field of study, expected graduation date, and weekly availability required with application

🏖️ Benefits

• 20 days of annual leave • Remote work within Germany, with hours coordinated around your studies • Exposure to modern cloud platforms, data architecture, and the foundations of production AI • Small team where you can contribute ideas and understand the impact of your work