Senior AI Analytics Engineer
What You'll Be Doing
Operationalizing AI/LLM models as part of the data pipeline work
Building and maintaining scalable data transformation pipelines
Standardizing data models across the organization
Establishing and promoting best practices for analytics engineering
Acting as a technical Business Analyst on select initiatives, working with business teams to turn ambiguous operational needs into clear technical specs and data requirements
What We're Looking For
Experience operationalizing AI/LLM models
Experience building scalable data transformation pipelines
Experience standardizing data models and establishing best practices
Ability to work across Data Engineering, Tech, and Product teams
Ability to act as a technical Business Analyst, translating ambiguous business needs into clear technical specifications
Requirements
Key Responsibilities Data & AI Architecture: Design, build, and maintain production-grade data models to bridge raw data streams with downstream applications and BI tools. Using LLMs and AI tools to generate data documentation, write SQL/Python transformations, convert warehouse dialects, and diagnose pipeline error logs. Analytics Engineering: Standardize data modeling practices and build robust, reliable, scalable semantic layers that feed clean, trustworthy data to downstream analytics and reporting. Business & Requirements Analysis: Occasionally lead scoping discussions with product, tech and finance stakeholders to translate business requirements into functional specs, user stories, and data mapping documents. Business Logic Translation: Reconciling data definitions across departments, a critical human-led task that AI cannot fully automate Data Quality & Governance: Establish automated testing, monitoring, and data quality frameworks to guarantee financial-grade reliability. Performance Optimization: Optimize query performance, warehouse costs, and pipeline orchestration. Requirements & Qualifications • Experience: 5+ years of experience in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI environment. • Technical Mastery: Advanced SQL capabilities. Hands-on expertise with modern data transformation and orchestration frameworks ( dbt , Airflow , Prefect , Dagster ). Deep experience with cloud data warehouses ( Snowflake , Databricks , BigQuery ). • AI Technical Stack: Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics. Experience with deploying AI agentic workflows in production environments. • Business Analysis Skills: Demonstrated ability to occasionally gather business requirements, define key metrics, and translate stakeholder needs into structured data assets. • Software Engineering Principles: Strong experience with version control ( Git ), CI/CD practices for data pipelines, and production code testing.
About Crypto Finance
Crypto Finance AG is a dynamic technology firm based in Hessen, Frankfurt am Main, Germany, dedicated to developing robust and innovative solutions that drive progress in the tech landscape. Our mission is to build reliable, high-performance systems that empower businesses and individuals with cutting-edge tools and services. We are committed to pushing the boundaries of what's possible, fostering an environment where ingenuity and problem-solving are at the forefront of our daily work. Our culture at Crypto Finance AG is built on collaboration, continuous learning, and mutual respect. We believe that diverse perspectives fuel creativity and lead to better outcomes. Our team thrives in a challenging yet supportive atmosphere, where every voice is heard, and contributions are valued. We champion a work-life balance, encouraging our employees to develop both professionally and personally within our vibrant Frankfurt community. Joining Crypto Finance AG means becoming part of a forward-thinking team with ample opportunities for career growth and impact. With 106 open positions, we are rapidly expanding and looking for talented individuals who are passionate about technology and eager to make a significant difference. If you're ready to contribute to impactful projects and grow your career in a supportive and innovative environment in Frankfurt am Main, we invite you to explore our opportunities.
Ready to Apply?
To submit your application for this position, please visit Crypto Finance's official website and follow their application process.