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.
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
Initial Focus
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
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.
Expanding Scope Over Time
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
About us
BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve" - anticipating technology megatrends and identifying the major investment opportunities of the future before they emerge. The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors. The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers. The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe.