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Senior Data Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
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BIBIT Capital
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing data pipelines for equity research at an asset management firm, integrating AI models for advanced LLM workflows. Extensive Python experience with large-scale data pipeline design and Snowflake, Databricks expertise required. Relocation support, Visa support.
Requirements
- Extensive professional experience in Python
- Deep proficiency in Pandas, NumPy, Django, Flask, and FastAPI
- Expertise in designing and maintaining large-scale data pipelines
- Experience with Airflow and containerization technologies
- Strong knowledge and hands-on experience with SQL, Snowflake, and Databricks
- Proven ability to manage and optimize AWS infrastructure
- Experience with CI/CD and infrastructure as code (Terraform)
- Strong interest in AI engineering
- Experience with integrating LLMs into production environments
- Track record in building and maintaining platforms with high volumes of data
- Previous experience within asset management or quantitative finance
- Familiarity with financial data and investment analysis principles
- Experience training and operationalizing large ML models
- Experience deploying and monitoring models in production environments
- General software security overview
Tasks
- Design and implement sophisticated data pipelines
- Optimize data architecture for complex datasets
- Develop advanced LLM workflows with AI models
- Integrate AI into equity research and analytics
- Collaborate with research analysts and data scientists
- Translate business requirements into engineering solutions
- Support infrastructure and DevOps initiatives
- Optimize AWS and Databricks environments
- Manage CI/CD pipelines and container orchestration
- Automate processes for efficiency
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
- Django
- Flask
- FastAPI
- Airflow
- Docker
- Kubernetes
- SQL
- Snowflake
- Databricks
- AWS
- Terraform
Benefits
Competitive Pay
- Competitive compensation package
Other Benefits
- Relocation support
- Visa support
Diverse Work
- Challenging, varied tasks
Career Advancement
- Professional growth opportunities
Informal Culture
- Transparent feedback culture
Team Events
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BIT Capital and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BIBIT Capital
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing data pipelines for equity research at an asset management firm, integrating AI models for advanced LLM workflows. Extensive Python experience with large-scale data pipeline design and Snowflake, Databricks expertise required. Relocation support, Visa support.
Requirements
- Extensive professional experience in Python
- Deep proficiency in Pandas, NumPy, Django, Flask, and FastAPI
- Expertise in designing and maintaining large-scale data pipelines
- Experience with Airflow and containerization technologies
- Strong knowledge and hands-on experience with SQL, Snowflake, and Databricks
- Proven ability to manage and optimize AWS infrastructure
- Experience with CI/CD and infrastructure as code (Terraform)
- Strong interest in AI engineering
- Experience with integrating LLMs into production environments
- Track record in building and maintaining platforms with high volumes of data
- Previous experience within asset management or quantitative finance
- Familiarity with financial data and investment analysis principles
- Experience training and operationalizing large ML models
- Experience deploying and monitoring models in production environments
- General software security overview
Tasks
- Design and implement sophisticated data pipelines
- Optimize data architecture for complex datasets
- Develop advanced LLM workflows with AI models
- Integrate AI into equity research and analytics
- Collaborate with research analysts and data scientists
- Translate business requirements into engineering solutions
- Support infrastructure and DevOps initiatives
- Optimize AWS and Databricks environments
- Manage CI/CD pipelines and container orchestration
- Automate processes for efficiency
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
- Django
- Flask
- FastAPI
- Airflow
- Docker
- Kubernetes
- SQL
- Snowflake
- Databricks
- AWS
- Terraform
Benefits
Competitive Pay
- Competitive compensation package
Other Benefits
- Relocation support
- Visa support
Diverse Work
- Challenging, varied tasks
Career Advancement
- Professional growth opportunities
Informal Culture
- Transparent feedback culture
Team Events
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BIT Capital and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BIT Capital
Industry
FinancialServices
Description
The company combines asset management expertise with technology agility, enabling investors to participate in future growth.
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