Data Engineer

Unchain Data; Zürich; Hybrid; CHF 120,000 - 170,000; Full time

Benefits offered by this job

International team

Travel opportunities

Flat hierarchies

Professional growth

Modern Zurich office

Fintech & blockchain exposure

Job summary

Crypto Finance Group is seeking a Data/Analytics Engineer to design and maintain robust ELT pipelines in Python and build scalable data models for finance and operations. You will collaborate with stakeholders to translate requirements into actionable data solutions and dashboards (Looker/Looker Studio).

Hybrid role based in Zurich, offering work on an evolving data platform at the intersection of blockchain and fintech. English proficiency required; German is a plus.

Qualifications

• 3–5 years of experience in Data Engineering or Analytics Engineering.
• Advanced SQL skills are mandatory (window functions, joins, query optimization).
• Strong Python proficiency for API data extraction and dataset manipulation (Polars or Pandas).
• Solid cloud knowledge with BigQuery, Snowflake or Redshift.
• Experience with code-based orchestrators (Dagster, Airflow, or Prefect).
• Experience with transformation tools (SQLMesh or dbt).
• Proactive, business-savvy, hands-on with delivering actionable data solutions.
• Strong communication skills; ability to explain technical concepts to non-technical audiences.
• Professional proficiency in English (German a plus).

Responsibilities

• Build & Ingest: Design, build, and maintain ELT pipelines using Python to ingest data into Google BigQuery.
• Model & Transform: Develop scalable data models and complex SQL queries for diverse business use cases.
• Orchestrate: Manage the data warehouse using Dagster and SQLMesh.
• Deliver Insights: Translate requirements into data solutions and power Looker dashboards and reports.
• Production Standards: Maintain data infrastructure as code in Git with PRs and reviews.

Skills

Advanced SQL

Python

English (Professional)

Communication

Analytical mindset

Tools

BigQuery

Snowflake

Redshift

Dagster

Airflow

Prefect

SQLMesh

dbt

Looker/Looker Studio

Polars/Pandas

Docker

Job description

About Us

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.

About the Role

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

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 Have

• 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