12 beste Stellen als machine learning engineer in berlin mitte, be – aktuell auf Personalsuche

Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
3 Tage
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
22 Std.
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
14 Tage
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
2 Tage
Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
1 Tag
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
13 Tage
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
3 Tage
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
6 Tage
Machine Learning Engineer (m/w/d)
Doopic GmbH —Berlin
- Per E-Mail
- Azure
- Englisch
- AWS
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
1 Std.
Senior Data Engineer (m/f/d)
Eberlein Kunz —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
- Flexible Arbeitszeiten
Direkt bewerben
2 Std.

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Data Engineer (all genders)
GROPYUS —Berlin
Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. Programming languages like Python or Kotlin.
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Lead Backend Engineer - Checkout (all genders)
SCAYLE —Berlin
SCAYLE stands for innovation, international collaboration, and a strong focus on data. Lead and mentor a world-class team of engineers, collaborating with…
Ab 85.000 € pro Jahr
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machine learning engineer jobs near berlin mitte, be

Data Engineer

JINGDONG RETAIL (UK) LIMITED -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 3 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.

Ready to apply?

Take the next step in your career, apply now and explore the opportunities we have to offer.

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