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BI
BIT Capital
23d ago

Associate Data Engineer(m/w/x)

Berlin
Full-timeOn-siteEntry Level
AI/ML
Data Science

Description

You will ensure the reliability of a high-stakes data platform by managing Python ETL pipelines and SQL quality checks while supporting advanced AI initiatives and modern cloud workflows.

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Requirements

  • 0–2 years of professional experience
  • Degree in Computer Science or related
  • Strong foundations in Python and SQL
  • Practical experience using AI tools
  • Understanding of ETL and data pipelines
  • High standards for correctness and reliability
  • Strong intellectual curiosity around AI
  • Willingness to learn quickly
  • Exposure to AWS, Databricks, or Spark
  • Familiarity with monitoring or observability tools
  • Experience with AI or LLM-based systems
  • Interest in financial data or analytics

Education

Bachelor's degree
OR
Master's degree

Tasks

  • Design test strategies for Python ETL pipelines
  • Validate edge cases and failure scenarios
  • Maintain technical documentation for data flows
  • Write SQL-based data quality checks
  • Monitor production pipelines for anomalies
  • Perform root cause analysis for incidents
  • Manage pipeline changes and releases
  • Provide documentation for compliance audits
  • Collaborate with external data vendors
  • Support AI and LLM-enabled systems
  • Apply AI-assisted tools and automation
  • Develop ETL workflows in AWS and Databricks
  • Improve platform monitoring and alerting
  • Own specific datasets and pipeline components
  • Participate in AI experimentation and productionization
  • Contribute to technical design discussions

Tools & Technologies

PythonSQLAI toolsAWSDatabricksSparkLLM

Languages

EnglishBusiness Fluent

Benefits

Modern Equipment

  • Cutting-edge data tools
  • Modern AI-driven workflows

Informal Culture

  • Experienced international team
  • Flat hierarchy
  • Direct management interaction
  • Appreciative feedback culture

Purpose-Driven Work

  • Responsibility from day one

Career Advancement

  • Professional growth opportunities

Team Events

  • Team events
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