11 beste Stellen als data engineer in königs wusterhausen – aktuell auf Personalsuche

Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
- Informatik
- Bachelor
Data Visualization Internship (m/f/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Master
- Bachelor
- Praktikum
Machine Learning Intern, Generative AI Applications (m/f/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Informatik
- Master
- Praktikum
Business Intelligence Specialist (m/w/d)
CEVALogistics —Großbeeren
- Vollzeit
- Datenanalyse
- Datenbanken
- SQL
- Homeoffice-Möglichkeit
Senior Software Engineer – Golang (m/w/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
- Kostenbeteiligung am Arbeitsweg
Supply Chain Integrations Engineer (m/w/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
- Master
- Bachelor
- Ohne Hochschulabschluss
Software Engineering Intern, AI Applications (m/f/d) - Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Informatik
- Master
- Praktikum
Software Engineer, Robot Perception & Vehicle Integration (m/w/d) - Gigafactory Berlin Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
Senior Software Engineer (Fullstack)
Buddywise —Berlin
- Hybrides Arbeiten
Tech Lead - E-Commerce (f/m/d)
kfzteile24 GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Bachelor
- Führungserfahrung
Direkt bewerben
Software Integration Engineer- Cell Software (m/f/d) – Gigafactory Berlin-Brandenburg
Tesla —Grünheide (Mark)
- Vollzeit
- Bachelor
- Ohne Hochschulabschluss
11 Std.

Discover related jobs

Based on your search for data engineer jobs.

Junior Data Scientist (m/w/div)
Deutsche Rentenversicherung Bund —Berlin
Unterstützen bei der Entwicklung und Implementierung komplexer Data Science-Anwendungen im Bereich des maschinellen Lernens und im Kontext GenAI.
GIS Scientist (m/f/x) – measuring and mapping nocturnal lightscapes
Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB) im Forschungsverbund Berlin e.V. —Berlin
Ability to analyse remote sensing data. Analysing satellite data and other remote sensing products, as well as datasets on near-surface air temperature,.

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in königs wusterhausen erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

data engineer jobs near königs wusterhausen

Jobs als Full Stack Developer in Berlin

Jobs als E-commerce Specialist in Berlin

Jobs als Full Stack Developer in Wiesbaden

Jobs als Full Stack Developer in Germany Remote

Jobs als Backend Developer in Hannover

Jobs als Full Stack Developer in Dresden

Jobs als Full Stack Developer in Essen

Jobs als Php Symfony Developer in Köln

Jobs als Marketing Specialist in München

Jobs als Machine Learning Engineer in Stuttgart

Jobs als Battery Engineer in München

Jobs als Machine Learning Engineer in Böblingen

Jobs als Machine Learning Engineer in Frankfurt Am Main

Jobs als Machine Learning Engineer in Home Office

Jobs als Staff Engineer in Berlin

Jobs als Software Integration Engineer in Garching Bei München

Jobs als English Mechanical Engineer in Berlin

Jobs als Legal Engineer in Berlin

Jobs als Qa Engineer in Berlin

Jobs als Business Intelligence Consultant in Münster

Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla -
Grünheide (Mark)

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Informatik
Big Data
NoSQL
Bachelor

Vollständige Stellenbeschreibung

What to Expect

Tesla is revolutionizing the automotive industry with sustainable energy and advanced manufacturing. As a Data Engineer in the Paint Shop, you will help harness production data to optimize paint processes, support quality assurance, and improve operational efficiency. Working alongside senior engineers, you will build and maintain the data pipelines that integrate real-time data from paint lines, inspection systems, and automation tools, and turn it into datasets and dashboards the team relies on. Collaborating with cross-functional teams (Production Engineering, Controls, and Quality), you will help enable data-driven decisions that support Tesla's mission of accelerating the world's transition to sustainable energy through high-volume, defect-free vehicle production. This role suits an engineer with a solid technical foundation who wants to grow their impact in a fast-paced manufacturing environment.

What You'll Do

Data Pipeline Development: Build, maintain, and optimize ETL (Extract, Transform, Load) pipelines that process data from Paint Shop systems, including sensor data from coating robots, inspection cameras, and cycle time trackers. Contribute to pipeline design and keep them robust and integrated with Tesla's data platforms (e.g., cloud systems like AWS, Azure, or internal tools).
Data Integration and Management: Integrate data sources from manufacturing equipment (e.g., automated lines, EHS sensors, ERP systems) into unified datasets for analysis. Help maintain data lakes, warehouses, and streaming pipelines that support monitoring of paint quality, defect rates, and throughput. Deliver dashboard requests (e.g., for production metrics or defect tracking) and perform data validation to ensure accuracy, completeness, and reliability.
Performance and Quality: Monitor and improve existing data workflows to reduce latency and improve accuracy. Apply data governance and validation practices under the guidance of senior engineers to keep data compliant with EHS standards and manufacturing requirements.
Collaboration and Support: Work with Paint Shop teams (supervisors, engineers, and analysts) to understand their needs and translate them into data solutions. Support data-related projects such as dashboards for cycle time tracking or automated reporting for production metrics.
Problem-Solving and Growth: Contribute to initiatives that apply advanced technologies, such as machine learning for anomaly detection in paint defects or IoT data feeds. Help maintain and extend the iSVS (Internal Surface Vision System) for defect classification. Surface opportunities for process improvements, such as reducing paint material waste through data insights, and grow your technical depth across the stack.
Documentation: Keep clear documentation of the pipelines and processes you own. Follow Tesla's safety protocols, data privacy standards (e.g., GDPR), and sustainability goals.

What You'll Bring

Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent practical experience).
Experience: 2+ years of experience in data engineering or a closely related role. Exposure to manufacturing, automotive, or industrial data is a plus.
Proficiency in Python (Java or Scala a plus).
Working experience with data pipelines and at least one big data or streaming tool (e.g., Apache Spark, Kafka) or a willingness to learn.
Solid SQL skills (e.g., PostgreSQL, MySQL); exposure to NoSQL and orchestration tools (e.g., Airflow) is a plus.
Familiarity with API integrations and version control (Git).
Soft Skills: Good problem-solving ability, clear communication with technical and non-technical colleagues, and the ability to work well in a dynamic, high-pressure environment.
Other: Willingness to work in a manufacturing setting with occasional shift flexibility. Must pass Tesla's background check and safety training.

Preferred Qualifications

Exposure to MES systems, IoT platforms, or data visualization tools (Tableau/Power BI).
Basic understanding of manufacturing processes, such as paint application, quality inspection, or EHS compliance.
Interest in machine learning or AI for predictive analytics in production settings, including systems like iSVS.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in königs wusterhausen

Data Engineer, Paintshop (m/w/d) - Gigafactory Berlin-Brandenburg

Data Visualization Internship (m/f/d) - Gigafactory Berlin-Brandenburg

Machine Learning Intern, Generative AI Applications (m/f/d) - Gigafactory Berlin-Brandenburg

Business Intelligence Specialist (m/w/d)

Senior Software Engineer – Golang (m/w/d) - Gigafactory Berlin-Brandenburg

Supply Chain Integrations Engineer (m/w/d) - Gigafactory Berlin-Brandenburg

Software Engineering Intern, AI Applications (m/f/d) - Gigafactory Berlin-Brandenburg

Software Engineer, Robot Perception & Vehicle Integration (m/w/d) - Gigafactory Berlin Brandenburg

Senior Software Engineer (Fullstack)

Tech Lead - E-Commerce (f/m/d)

Software Integration Engineer- Cell Software (m/f/d) – Gigafactory Berlin-Brandenburg

Discover related jobs

Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in königs wusterhausen erhalten

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt