Data Engineer

Tesla
Amsterdam, Netherlands
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Amsterdam, Netherlands

Tech stack

API
Airflow
Continuous Integration
Information Engineering
Data Infrastructure
Data Warehousing
Python
Power BI
SQL Databases
Large Language Models
GIT
Kubernetes
Information Technology
Data Analytics
Data Management
Data Pipelines
Docker

Job description

As a Data Engineer in the global EHS&S data team, you'll build and scale solutions to directly support Tesla's Environmental, Health, Safety, and Security (EHS&S) goals. This includes end-to-end ownership of the data pipelines that feed one of the most viewed dashboards in Tesla, creating the data models and architecture for internal LLMs that support EHS&S specialists with classifying injury events and generating actions to prevent recurrences, and collaborating cross-functionally to power internal and external reporting (e.g., the Tesla Impact Report). A successful candidate is a hands-on engineer who thrives on solving complex problems, leading end-to-end projects with competing priorities, and is a team player with strong communication skills. What You'll Do

  • Collaborate with stakeholders to frame and solve business challenges, identify key opportunities, and take ideas from design to production
  • Ensure safe, secure, compliant, documented, and trusted data by implementing high standards
  • Develop, manage, and optimize data pipelines, warehousing, orchestration, and overall end-to-end infrastructure
  • Create and refine dimensional data models that enable powerful reporting and analytics
  • Explore new tools, frameworks, and technologies to keep our data platform cutting-edge

Requirements

  • Professional experience in data engineering, data analytics, data modelling, and data management
  • Degree in Computer Science, Mathematics, Data Science, or equivalent experience
  • Open-minded, collaborative, and team-oriented attitude with the ability to think outside the box
  • Ability to effectively communicate concepts and strategies to technical and non-technical audiences
  • Strong organizational, planning, and project management skills to work independently and focused
  • Knowledgeable and comfortable in Git, Python, SQL and dbt, APIs, Data Orchestration (i.e., Airflow), Docker/Kubernetes, CI/CD, Data Quality (e.g., soda.io), and Modern Data Warehousing; experience with Power BI is a plus
  • Eagerness to learn about novel ways to make impact in the environmental, health, safety, and security domain; existing knowledge is a plus

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