Data Engineer

Data Engineer – Zürich, ZH, CH

Crypto Finance Group is part of Deutsche Börse Group and offers professional digital asset solutions to institutional clients. The group comprises Crypto Finance AG (regulated by FINMA in Switzerland), offering trading, custody, and wallet services, and 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, becoming one of the first EU providers.

Crypto Finance AG is a SIX‑approved crypto custodian for ETP issuers.

Join our Data & Analytics team at Prime Tower, Zurich, where you will build a reliable reporting framework that powers both finance and operational reporting. You will engineer the data ecosystem, ensuring it runs reliably and delivers accurate, timely insights.

• Data Engineering:
  Design and maintain robust ELT pipelines using Python to ingest external data.
• Analytics Engineering:
  Build complex SQL‑based data models in data marts.
• Business Intelligence:
  Partner with stakeholders to translate financial requirements into clear, actionable data marts and dashboards.

• 3‑5 years of experience in Data Engineering or Analytics Engineering.
• Advanced SQL skills (window functions, complex joins, query optimisation).
• Strong Python proficiency for API data extraction and dataset manipulation (experience with Polars or Pandas required).
• Solid cloud knowledge and hands‑on experience with Big Query (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 to clearly convey complex technical concepts to non‑technical audiences.
• Professional proficiency in English (German is a plus).

• Build & ingest:
  Design, build, and maintain robust ELT pipelines using Python to ingest data from various external APIs and sources into Google Big Query.
• Model & transform:
  Develop scalable data models and craft complex SQL queries to support diverse business use cases.
• Orchestrate:
  Operate and optimise the data warehouse infrastructure, utilising 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, utilising pull requests and code reviews to ensure production stability and auditability.

• Experience working with financial data (bookings, transactions, general ledgers).
• Experience using BI tools (Looker / Looker Studio) to visualise and present complex datasets.
• Basic understanding of Docker.

• 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.

• Innovation and continuous learning.
• Collaboration and knowledge sharing.
• Entrepreneurial spirit and flat hierarchies.
• Values such as excellence, delivery, ownership, passion, and unity.

We do not accept CVs from recruiting or staffing agencies.