16 beste Stellen als machine learning engineer (m/w/d) in berlin, be – aktuell auf Personalsuche

Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
7 Tage
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Düsseldorf, München, Köln, Frankfurt, Gütersloh, Hamburg, Berlin —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
Senior AI Engineer
Cosuno —Berlin
- Vollzeit
- Homeoffice
- Master
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Manager, Data Science, Dynamic Promo - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
Direkt bewerben
1 Tag
Senior Data Engineer (all genders)
Diconium Group GmbH —Berlin
- Vollzeit
- Azure
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Java
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
10 Tage
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
12 Std.
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Digits KG —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
Data Engineer (mwd) – Data Platforms & Data Pipelines
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Weiterbildungsprogramme
Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
flaschenpost SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Englisch
- Machine Learning
Direkt bewerben
16 Std.
Senior Data Engineer - Better Planner (d/f/m)
Bettermile —Berlin
- Vollzeit
- Hybrides Arbeiten
- Englisch
- SQL
- AWS
- Homeoffice-Möglichkeit
12 Std.
Senior Data Scientist, Dynamic Promo - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Machine Learning
- Python
Direkt bewerben
1 Tag

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CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Düsseldorf, München, Köln, Frankfurt, Gütersloh, Hamburg, Berlin —Berlin
Du entwickelst moderne Datenlösungen und innovative Datenprodukte sowie AI-ready Data Platforms , die Unternehmen dabei unterstützen, fundierte und nachhaltige…
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
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Dabei entwirfst du skalierbare und effiziente Datenarchitekturen, integrierst moderne Data-Engineering- und AI-Technologien in bestehende Systemlandschaften und…

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Data Engineer

JINGDONG RETAIL (UK) LIMITED -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 7 Tagen

Qualifikationen

Azure
Informatik
Big Data
Spark
Google Cloud Platform
E-Commerce
Java
SQL
AWS
Bachelor
Scala
Redshift
Python
Hadoop

Vollständige Stellenbeschreibung

Who We Are

At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.

Our Global Reach

JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.

Learn more about who we are and what we do: https://corporate.jd.com/

What We Offer

Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.

About The Team

You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.

JD.com is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power our analytics and machine learning systems. You will work closely with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across international markets. This role requires strong technical expertise in big data processing, database management, and cloud platforms, with a keen eye for reliability and compliance in a global context.

Key Responsibilities:

Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training.
Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets.
Ensure data quality, consistency, and compliance with regulations such as GDPR.
Collaborate with data scientists and product teams to deliver reliable, well-structured datasets for experimentation and decision-making.
Implement monitoring and automation to improve pipeline efficiency and minimize downtime.
Contribute to the development of the overall data infrastructure roadmap for JD.com’s global operations.
Work onsite in London, UK.

Qualifications:

Bachelor’s degree in Computer Science, Data Engineering, or a related field.
3+ years of experience in data engineering, big data infrastructure, or large-scale ETL development.
Proficiency in SQL and programming languages such as Python, Java, or Scala.
Hands-on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure).
Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi).
Strong knowledge of data security, compliance, and governance frameworks.
Effective communication in English.

Preferred Qualifications:

Experience in e-commerce or consumer-facing platforms.
Track record of building data platforms in cross-border or international contexts.
Familiarity with real-time streaming frameworks (e.g., Kafka, Pulsar).
Effective communication in Chinese.

At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

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machine learning engineer (m/w/d) Jobs in berlin, be

Data Engineer

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

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

Senior AI Engineer

Manager, Data Science, Dynamic Promo - Quick Commerce

Senior Data Engineer (all genders)

Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung

(Senior) Applied Scientist, Search

Senior Staff Customer Engineer – Automotive AI

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

Data Scientist

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

Data Engineer (mwd) – Data Platforms & Data Pipelines

Machine Learning Engineer (m/w/d) – MLOps & Software Engineering

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