Data Engineer

Tesla

Amsterdam, Netherlands

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Application Programming Interfaces (APIs) Airflow Continuous Integration Information Engineering Data Infrastructure Data Warehousing Python (Programming Language) Power BI SQL Databases Large Language Models Git Kubernetes

+5 more

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