Data EngineerCrypto Finance AG • Zürich, ZH, CH

Data Engineer

Crypto Finance AG • Zürich, ZH, CH

21 hours ago

Job type

Quick Apply

Job description

About Crypto Finance

Crypto Finance Group, part of Deutsche Börse Group, provides professional digital asset solutions to institutional clients. The Group comprises Crypto Finance AG, regulated by FINMA in Switzerland, offering trading, custody, and wallet services, as well as Crypto Finance (Deutschland) GmbH, regulated by BaFin in Germany, offering trading and custody services. As of 25 January 2025, Crypto Finance secured a MiCAR license for the European market as one of the first providers in the EU. Crypto Finance AG is a SIX-approved crypto custodian for ETP issuers.

For more information, please visit our website at About us - Crypto Finance

Join our Data & Analytics team at the Prime Tower, Zurich, where you will play a central role in building a reliable reporting framework. You will engineer the data ecosystem that powers our Finance and Operational reporting, ensuring it runs reliably and delivers accurate, timely insights.

This is a hybrid role offering a diverse mix of :

Data Engineering : Designing and maintaining robust ELT pipelines using Python to ingest external data
Analytics Engineering : Building complex SQL-based data models in data marts
Business Intelligence : Partnering with stakeholders to translate financial requirements into clear, actionable data marts and dashboards

If you enjoy solving complex data modeling challenges, building practical infrastructure, and making data work for the company, this role is for you.

Requirements

3-5 years of experience in Data Engineering or Analytics Engineering

Advanced SQL skills are mandatory (window functions, complex joins, query optimization)

Strong Python proficiency, specifically for API data extraction and dataset manipulation (experience with Polars or Pandas is essential)

Solid cloud knowledge and hands-on experience with BigQuery (preferred), Snowflake, or Redshift

Experience with a code-based orchestrator (Dagster, Airflow, or Prefect)

Experience with a transformation tool (SQLMesh or dbt)

Proactive, pragmatic, and business-savvy, with a hands-on approach to delivering actionable data solutions

Strong communication skills with the ability to clearly convey complex technical concepts to non-technical audiences

Professional proficiency in English (German is a plus)

Responsibilities

Build & Ingest : Design, build, and maintain robust ELT pipelines using Python to ingest data from various external APIs and sources into Google BigQuery

Model & Transform : Develop scalable data models and craft complex SQL queries to support diverse business use cases

Orchestrate : Operate and optimize the data warehouse infrastructure, utilizing Dagster for orchestration and SQLMesh for transformation

Deliver Insights : Collaborate with business stakeholders to translate requirements into technical data solutions, creating views and marts that power downstream BI dashboards (Looker / Looker Studio) and reports

Production Standards : Maintain data infrastructure as code in Git, utilizing pull requests and code reviews to ensure production stability and auditability

Nice to Haves

Experience working with financial data (bookings, transactions, general ledgers)

Experience using BI tools (Looker / Looker Studio) to visualize and present complex datasets

Basic understanding of Docker

Benefits

Be part of an international, fast-paced blockchain and fintech team led by experienced professionals

Opportunity to travel and attend leading events

Shape the future of finance while working at the cutting edge of B2B digital asset solutions

Contribute to a collaborative, entrepreneurial culture with flat hierarchies

Take on meaningful responsibility with room for learning and professional growth

Gain deep industry insights and make a tangible impact

Join regular company-wide meetings, knowledge-sharing sessions, and team events

Enjoy a modern and central workplace in Zurich with top-tier infrastructure

Our culture

At the heart of our company, we prioritize :

Innovation and Continuous Learning

Collaboration and Knowledge Sharing

Entrepreneurial Spirit and Flat Hierarchies

Values such as Excellence, Delivery, Ownership, Passion, and Unity

Please note :

We do not accept CVs from recruiting or staffing agencies.

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Data Engineer • Zürich, ZH, CH

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