BIT Capital
Senior Data Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
New Job?Nejo!
The AI Job Search Engine
BI
BIT CapitalAssociate Data Engineer(m/w/x)
Berlin
Full-timeOn-siteEntry Level
AI/ML
Data Science
Description
You will ensure the reliability of a high-stakes data platform by managing Python ETL pipelines and SQL quality checks while supporting advanced AI initiatives and modern cloud workflows.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •0–2 years of professional experience
- •Degree in Computer Science or related
- •Strong foundations in Python and SQL
- •Practical experience using AI tools
- •Understanding of ETL and data pipelines
- •High standards for correctness and reliability
- •Strong intellectual curiosity around AI
- •Willingness to learn quickly
- •Exposure to AWS, Databricks, or Spark
- •Familiarity with monitoring or observability tools
- •Experience with AI or LLM-based systems
- •Interest in financial data or analytics
Education
Bachelor's degree
OR
Master's degree
Tasks
- •Design test strategies for Python ETL pipelines
- •Validate edge cases and failure scenarios
- •Maintain technical documentation for data flows
- •Write SQL-based data quality checks
- •Monitor production pipelines for anomalies
- •Perform root cause analysis for incidents
- •Manage pipeline changes and releases
- •Provide documentation for compliance audits
- •Collaborate with external data vendors
- •Support AI and LLM-enabled systems
- •Apply AI-assisted tools and automation
- •Develop ETL workflows in AWS and Databricks
- •Improve platform monitoring and alerting
- •Own specific datasets and pipeline components
- •Participate in AI experimentation and productionization
- •Contribute to technical design discussions
Tools & Technologies
PythonSQLAI toolsAWSDatabricksSparkLLM
Languages
English – Business Fluent
Benefits
Modern Equipment
- •Cutting-edge data tools
- •Modern AI-driven workflows
Informal Culture
- •Experienced international team
- •Flat hierarchy
- •Direct management interaction
- •Appreciative feedback culture
Purpose-Driven Work
- •Responsibility from day one
Career Advancement
- •Professional growth opportunities
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.
Not a perfect match?
- sensmore
Data Engineer / ML Ops(m/w/x)
Full-timeOn-siteExperiencedBerlin - Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedfrom 190,000 / yearBerlin - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJuniorBerlin, München - FREENOW
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedHamburg, Berlin
BI
BIT CapitalAssociate Data Engineer(m/w/x)
Berlin
Full-timeOn-siteEntry Level
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
You will ensure the reliability of a high-stakes data platform by managing Python ETL pipelines and SQL quality checks while supporting advanced AI initiatives and modern cloud workflows.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •0–2 years of professional experience
- •Degree in Computer Science or related
- •Strong foundations in Python and SQL
- •Practical experience using AI tools
- •Understanding of ETL and data pipelines
- •High standards for correctness and reliability
- •Strong intellectual curiosity around AI
- •Willingness to learn quickly
- •Exposure to AWS, Databricks, or Spark
- •Familiarity with monitoring or observability tools
- •Experience with AI or LLM-based systems
- •Interest in financial data or analytics
Education
Bachelor's degree
OR
Master's degree
Tasks
- •Design test strategies for Python ETL pipelines
- •Validate edge cases and failure scenarios
- •Maintain technical documentation for data flows
- •Write SQL-based data quality checks
- •Monitor production pipelines for anomalies
- •Perform root cause analysis for incidents
- •Manage pipeline changes and releases
- •Provide documentation for compliance audits
- •Collaborate with external data vendors
- •Support AI and LLM-enabled systems
- •Apply AI-assisted tools and automation
- •Develop ETL workflows in AWS and Databricks
- •Improve platform monitoring and alerting
- •Own specific datasets and pipeline components
- •Participate in AI experimentation and productionization
- •Contribute to technical design discussions
Tools & Technologies
PythonSQLAI toolsAWSDatabricksSparkLLM
Languages
English – Business Fluent
Benefits
Modern Equipment
- •Cutting-edge data tools
- •Modern AI-driven workflows
Informal Culture
- •Experienced international team
- •Flat hierarchy
- •Direct management interaction
- •Appreciative feedback culture
Purpose-Driven Work
- •Responsibility from day one
Career Advancement
- •Professional growth opportunities
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.
Not a perfect match?
- BIT Capital
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - sensmore
Data Engineer / ML Ops(m/w/x)
Full-timeOn-siteExperiencedBerlin - Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedfrom 190,000 / yearBerlin - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJuniorBerlin, München - FREENOW
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedHamburg, Berlin