{"id":3205580,"url":"https://alion.io/job/datavent-working-student-data-engineering","title":"Working Student – Data Engineering","company":{"id":676839,"name":"Datavent","domain":"datavent.io","url":"https://alion.io/company/datavent","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-24T11:54:58Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-27T05:34:49Z","board_verified":false,"closed_at":"2026-10-27T05:34:49Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"AgentixLake GmbH · Hamburg, Germany\nRemote within Germany · 15-20 hours per week · Working student / Werkstudent\nAbout AgentixLake\nhttps://www.linkedin.com/company/agentixlake/\nBuild the data foundations that make AI useful.\nHow does data get from an operational system into a reliable dashboard-or become trustworthy input for an AI application?\nAt 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.\nAbout AgentixLake\nAgentixLake 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.\nOur work brings together data platform engineering, lakehouse architecture, AI agents, document intelligence, and reliable operations. We are an AWS and Anthropic Certified Services Partner.\nWhat you’ll work on\nWorking alongside experienced engineers, you will:\nHelp build Python and SQL pipelines that ingest, transform, and validate data from APIs, databases, and files.\n\nDevelop data models and transformations for analytics and AI applications.\n\nAdd data quality checks, automated tests, and monitoring to make pipelines more reliable.\n\nInvestigate pipeline failures and help improve logging and troubleshooting.\n\nContribute to cloud data platforms and lakehouse projects, depending on the engagement.\n\nDocument your work and collaborate through Git, pull requests, and code reviews.\n\nYou’ll start with real tasks and take ownership from day one.\nWhat you bring\nCurrent enrollment in computer science, data science, business informatics, mathematics, or a related degree.\n\nHands-on practical expertise in Python, databases, and data pipelines.\n\nA thoughtful approach to debugging and a willingness to ask questions.\n\nGood English communication skills.\n\nAWS, dbt, Airflow, Docker, Snowflake, Databricks, and Apache Iceberg aren't just buzzwords for you.\n\nYou do not need to know our entire stack. We value strong fundamentals, curiosity, and evidence that you enjoy building things.\nWhat you can expect\nRemote work within Germany, with hours coordinated around your studies.\n\nExposure to modern cloud platforms, data architecture, and the foundations of production AI.\n\nA small team where you can contribute ideas and understand the impact of your work.\n\nFollow our journey\nFollow AgentixLake on LinkedIn https://www.linkedin.com/company/agentixlake/ for updates, engineering insights, and future opportunities.\nApply\nSend 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.\nWe welcome applicants of all backgrounds. 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