Associate Data Engineer (m/f/d)

YOUR ROLE

BIT Capital is looking for an Associate Data Engineer to join our Data & Engineering team. This role is central to ensuring the correctness, reliability, and transparency of the data platform that powers our proprietary equity research and AI-driven analytics.

In the first phase of the role, the focus is on developing a deep understanding of existing data pipelines, identifying subtle failure modes, and ensuring their correctness in production.

You will:

• Design and implement robust test strategies for Python-based ETL pipelines, including validation of edge cases and failure scenarios
  

• Define and maintain precise and unambiguous technical documentation for ETL workflows, data flows, and platform components
  

• Write SQL-based data quality checks and assertions to enforce correctness and consistency across datasets
  

• Monitor ETL pipelines in production and investigate failures, delays, anomalies, and non-obvious data quality regressions
  

• Perform first-level root cause analysis for ETL incidents and escalate issues with clear, well-reasoned technical context
  

• Act as a quality and reliability gate for pipeline changes, backfills, and releases
  

• Provide technical documentation and evidence to compliance and audit teams when required
  

• Collaborate with external data vendors to validate data deliveries and resolve data issues
  

• Support AI-related initiatives, including data preparation, retrieval workflows, evaluations, and reliability checks for AI- and LLM-enabled systems
  
  

As familiarity with the platform increases and technical judgment is demonstrated, the scope of the role will expand toward more direct engineering ownership.

Over time, you will:

• Implement and improve Python-based ETL workflows in AWS and Databricks, with a focus on careful design, safe operation, and long-term maintainability
  

• Improve monitoring, alerting, and validation mechanisms across the data platform
  

• Take ownership of defined workflows, datasets, or pipeline components with clear accountability for their correctness in production
  

• Participate in AI experimentation and productionization as systems mature

• Contribute to technical design discussions with a systems-level and AI-aware perspective
  

YOUR PROFILE

What We’re Looking For

• 0–2 years of professional experience in a data-focused, engineering, or analytical role, with evidence of exceptional performance
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field from a highly regarded university
  

• Strong foundations in Python and SQL, demonstrated through high-quality academic, project, or professional work
  

• Practical experience using AI tools or AI-assisted workflows for data tasks, automation, or analysis
  

• Solid understanding of ETL workflows, data pipelines, and common operational failure modes
  

• Very high standards for correctness, clarity, and reliability
  

• Strong intellectual curiosity, particularly around AI and emerging technologies

• Willingness to learn quickly and operate effectively in a technically demanding environment

Nice to Have

• Exposure to modern data platforms such as AWS, Databricks, or Spark
  

• Familiarity with monitoring, alerting, or observability tools
  

• Experience working with AI or LLM-based systems, datasets, or evaluation workflows

• Interest in financial data, analytics, or equity research platforms
  
  

YOUR MINDSET

• You are strongly motivated to understand complex systems in depth
  
• You are comfortable working on detailed, correctness-focused problems that require sustained concentration
• You approach repetitive or operational work analytically and look for principled improvements or automation
• You value precision, transparency, and reliability over convenience
• You are aligned with BIT Capital’s long-term, AI-driven roadmap

OUR BENEFITS

• Work with petabytes of data, leveraging the most cutting-edge tools
• Work with the brightest minds in the industry and become part of an unique success story in Europe
• An experienced, international team with professional colleagues and strong experts for an inspiring network
• Flat hierarchy and direct interaction with the management and senior staff of BIT Capital
• Assumption of responsibility from day one
• Challenging, varied tasks for a steep learning curve and professional growth opportunities
• A transparent, appreciative feedback culture for your personal development
• Team events with a successful team that brings digital and financial worlds together