Die KI-Suchmaschine für Jobs
Associate Data Engineer(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Moderne Technikausstattung
- •Cutting-edge data tools
- •Modern AI-driven workflows
Lockere Unternehmenskultur
- •Experienced international team
- •Flat hierarchy
- •Direct management interaction
- •Appreciative feedback culture
Sinnstiftende Arbeit
- •Responsibility from day one
Karriere- und Weiterentwicklung
- •Professional growth opportunities
Team Events & Ausflüge
- •Team events
- BIT CapitalVollzeitnur vor OrtSeniorBerlin
- sensmore
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Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenab 190.000 / JahrBerlin - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Vollzeitnur vor OrtJuniorBerlin, München - FREENOW
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenHamburg, Berlin
Associate Data Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Moderne Technikausstattung
- •Cutting-edge data tools
- •Modern AI-driven workflows
Lockere Unternehmenskultur
- •Experienced international team
- •Flat hierarchy
- •Direct management interaction
- •Appreciative feedback culture
Sinnstiftende Arbeit
- •Responsibility from day one
Karriere- und Weiterentwicklung
- •Professional growth opportunities
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.
- BIT Capital
Senior Data Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - sensmore
Data Engineer / ML Ops(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin - Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenab 190.000 / JahrBerlin - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Vollzeitnur vor OrtJuniorBerlin, München - FREENOW
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenHamburg, Berlin