Associate Data Engineer (m/f/d)

Empleado permanente, Tiempo completo · Berlin HQ

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

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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.

DEINE ROLLE

About the Role

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

DEIN PROFIL

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

DEIN 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

DAS ERWARTET DICH:

Work with large-scale data and modern AI-driven research workflows
Close collaboration with senior leadership and experienced engineers
Flat hierarchy, high responsibility, and a steep learning curve

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Über uns

BIT Capital vereint die Kompetenzen eines Branchenführers im Asset-Management mit der Dynamik eines jungen Technologieunternehmens. Mit seinen Investmentprodukten bietet BIT Capital Investoren die Chance, am zukünftigen Wachstum der technologisierten Welt zu partizipieren. Dabei lautet der Anspruch stets „Ahead of the Curve“ zu sein – schon heute dort zu sein, wo technologische Megatrends und die großen Investmentchancen der Zukunft entstehen. Hier navigiert das BIT Capital-Team routiniert durch eine sich ständig verändernde Landschaft komplexer Technologiesektoren und spürt für seine Investoren frühzeitig die Technologieführer von morgen auf. Das erfahrene BIT Capital-Team umfasst aktuell ca. 40 Mitarbeitende, darunter ein 20-köpfiges Investmentteam aus Finanzmarktexperten, Sektorspezialisten, Dateningenieuren und Softwareentwicklern. Der Flagship-Fonds BIT Global Technology Leaders, wurde mehrfach für seine Perfomance-Ergebnisse ausgezeichnet und gehört zu den renditestärksten Aktienfonds in Europa.

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Tu candidatura

Gracias por plantearte una carrera en BIT Capital GmbH. Por favor, rellena el siguiente formulario. Si tienes problemas al subir documentos, envíalos por correo electrónico a career@bitcap.com.