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Senior Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Pandas
- NumPy
- Django
- Flask
- FastAPI
- Airflow
- Docker
- Kubernetes
- SQL
- Snowflake
- Databricks
- AWS
- Terraform
Benefits
Attraktive Vergütung
- Competitive compensation package
Sonstige Vorteile
- Relocation support
- Visa support
Abwechslungsreiche Aufgaben
- Challenging, varied tasks
Karriere- und Weiterentwicklung
- Professional growth opportunities
Lockere Unternehmenskultur
- Transparent feedback culture
Team Events & Ausflüge
- Team events
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Senior Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Pandas
- NumPy
- Django
- Flask
- FastAPI
- Airflow
- Docker
- Kubernetes
- SQL
- Snowflake
- Databricks
- AWS
- Terraform
Benefits
Attraktive Vergütung
- Competitive compensation package
Sonstige Vorteile
- Relocation support
- Visa support
Abwechslungsreiche Aufgaben
- Challenging, varied tasks
Karriere- und Weiterentwicklung
- Professional growth opportunities
Lockere Unternehmenskultur
- Transparent feedback culture
Team Events & Ausflüge
- Team events
Über das Unternehmen
BIT Capital
Branche
FinancialServices
Beschreibung
The company combines asset management expertise with technology agility, enabling investors to participate in future growth.
Noch nicht perfekt?
- SumUp
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Vollzeitnur vor OrtSeniorBerlin - Moonfare
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Vollzeitnur vor OrtSeniorBerlin - mama health
Senior Data Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 190.000 / Jahr - SumUp
(Senior) Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin