8 beste Stellen als machine learning engineer in teltow, bb – aktuell auf Personalsuche

Senior Data Engineer (m/f/d)
Eberlein Kunz —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
- Flexible Arbeitszeiten
Direkt bewerben
16 Std.
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
3 Tage
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
4 Tage
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
6 Tage
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
14 Tage
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
13 Tage
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
3 Std.
Data Engineer (d/m/w) (70/26)
Robert Koch-Institut —Berlin
- Bis zu 14 € pro Monat
- Informatik
- Englisch
- Master
- Gleitzeit
- Weiterbildungsprogramme
3 Std.

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machine learning engineer jobs near teltow, bb

Senior Data Engineer (m/f/d)

Eberlein Kunz -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 16 Stunden

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Power BI
Datenmodellierung
Azure
Englisch
Qualitätsmanagement
E-Commerce
SQL
Machine Learning
GitHub
Python
Deutsch

Vollständige Stellenbeschreibung

Preamble

We are a fast-growing e-commerce service agency based in Berlin. Since 2013, we have been helping retailers, brands, and manufacturers unlock their full potential in e-commerce, with a particular focus on the Amazon marketplace. Our core categories include food, natural cosmetics, household goods, and other high-demand consumer products. Many of our clients rank among the bestsellers in their respective categories.

Our success is driven by a team of 70 colleagues. We work in a data-driven, systematic, and structured way, with clear ownership and accountability, in an environment that makes performance visible and enables meaningful progress.

We think entrepreneurially and take a long-term approach: we test what works, make it scalable, and build strong, lasting partnerships with brands, suppliers, and our team.

To strengthen our team, we are looking for an experienced Senior Data Engineer (m/f/d) to take our data platforms and pipelines to the next level.

As a Senior Data Engineer at Eberlein Kunz, you will be a core member of our Data & Analytics team and play a key role in building the foundation for data-driven decision-making across the company.

Your Responsibilities

Design, build, operate, and continuously improve Azure data pipelines in Microsoft Fabric
Ensure data quality, completeness, and reproducibility
Implement incremental data loading processes to improve efficiency
Develop robust monitoring, logging, and error-handling systems
Set up and maintain test, staging, and production environments
Collaborate closely with the Head of Data & Analytics and Data Analysts to provide data for Power BI dashboards and machine learning models
Contribute to building a scalable data architecture (e.g. CI/CD, dbt, Airflow, Fabric Pipelines)
Document, optimize, and cost-optimize data workflows
Build and maintain API-based data integrations

Your profile

You design, build, and operate modern data pipelines in Microsoft Azure and Microsoft Fabric, ensuring high data quality, efficiency, and scalability. Your work enables reliable analytics, reporting, and machine learning across the organization.

5+ years of experience building and operating data pipelines or data platforms
Strong expertise in Azure Data Services, Microsoft Fabric, Data Factory / Synapse
Solid hands-on experience with SQL and Python (ETL/ELT, automation)
Experience with incremental loading and delta processing
Strong knowledge of data modeling (Bronze/Silver/Gold layers) and data quality management
Experience integrating data for Power BI and working with semantic layers
Proven skills in monitoring, logging, and performance optimization
Structured, self-driven working style with strong team orientation
professional proficiency in English
German language skills are a plus

Nice-to-haves

Experience in e-commerce or the Amazon ecosystem
Knowledge of API-based data extraction, Openbridge, and CI/CD (GitHub Actions, Azure DevOps)
Interest in machine learning integration
Passion for building data-driven organizations

Why us?

A dynamic company that is among the leading Amazon e-commerce sellers in the German-speaking region
A diverse and inclusive work environment that supports sustainable business success
A competitive salary package
Flexible working hours with a start window between 6:00 and 10:00 a.m. to support work-life balance
Hybrid work model: remote work on 2 out of 5 days per week
Attractive employee discounts on our full product portfolio
Access to 1,500+ offers via our Corporate Benefits partner
Subsidy for public transport tickets
And many additional benefits

About us

We are a fast- growing e-commerce service agency based in Berlin. Since 2013, we have been helping retailers, brands, and manufacturers unlock their full potential in e-commerce, with a particular focus on the Amazon marketplace. Our core categories include food, natural cosmetics, household goods, and other high-demand consumer products. Many of our clients rank among the bestsellers in their respective categories.

We think entrepreneurially and take a long-term approach: we test what works, make it scalable, and build strong, lasting partnerships with brands, suppliers, and our team.

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machine learning engineer Jobs in teltow, bb

Senior Data Engineer (m/f/d)

Data Scientist

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SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)

Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)

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Data Engineer (d/m/w) (70/26)

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