Associate Data Engineer (m/f/d)

Overview

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.

The position is well suited for someone early in their career who demonstrates exceptional analytical ability , strong technical judgment, and a high level of rigor. You will work closely with senior engineers, researchers, and AI practitioners, gaining hands-on exposure to production data systems and modern AI-supported workflows operating under demanding correctness and reliability requirements.

What You Will Do

• 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 content.
• 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.

Where appropriate, you will be expected to apply AI-assisted tools and automation thoughtfully, with an emphasis on correctness, reproducibility, and maintainability rather than speed alone.

Expansion of Scope

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

What You’ll Do Next

• Implement and improve Python-based ETL workflows in AWS and Databricks, focusing 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.

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.

Platform & 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.

Benefits & Team

• Work with petabytes of data using cutting-edge tools.
• Collaborate with bright minds and be part of a unique success story in Europe.
• Join an experienced, international team with strong experts for an inspiring network.
• Flat hierarchy and direct interaction with management and senior staff.
• Opportunity to assume responsibility from day one and engage in challenging, varied tasks for professional growth.
• Transparent, appreciative feedback culture and team events that blend digital and financial worlds.