Senior Data Engineer (m/w/d)

Tesla Germany GmbH; Berlin; On-site; EUR 100,000 - 140,000; Full time

Job summary

Tesla Germany GmbH in Berlin seeks a hands-on Senior Data Engineer to build and evolve its next-generation enterprise analytics platform powering BI, manufacturing insights, and supply chain visibility. You will design, develop, and operate large-scale data infrastructure under SOX controls, collaborating with product, manufacturing, finance and IT security to deliver high-impact solutions.

You’ll work with modern data technologies, streaming and batch processing, and ensure robust CI/CD,

Qualifications

• Extensive years of professional experience as a Data Engineer, Backend Engineer, or ETL developer building large-scale data platforms.
• Skilled with SQL, Python for data engineering (pandas, PySpark, SQLAlchemy, API Scrapping etc.)
• Strong Proficiency with database systems like Vertica, MySQL, SQL Server, NoSQL, OpenSearch, etc. is required
• Deep hands-on experience designing and operating Airflow DAGs in production at scale
• Production experience with at least one distributed streaming system (Kafka, Kafka Streams, Spark Streaming, Flink, Pulsar, etc.)
• Experience building and operating systems under SOX compliance or similarly regulated environments (change control, audit trails, separation of duties, etc.)
• Strong SQL skills and understanding of distributed query engines
• Experience with containerization (Docker) and orchestration (Kubernetes / ECS)

Responsibilities

• Architect, build, and maintain state-of-the-art Enterprise Data Warehouse / Lakehouse solutions that serve both batch and near-real-time analytics use cases
• Design and implement robust ETL / ELT pipelines using Python and Airflow
• Develop and operate real-time data streaming and processing platforms using open-source technologies such as Kafka, Spark Streaming / Structured Streaming, Flink, or equivalent
• Maintain platform health – Vertica, SQL Server, Airflow, Tableau etc
• Handle sensitive financial, production, and customer data systems while strictly adhering to SOX controls, segregation of duties, change management, and audit requirements
• Partner closely with business sponsors, product managers, manufacturing engineers, service operations, finance, and IT/security teams to gather requirements, scope projects, and deliver high-quality solutions quickly
• Communicate complex technical concepts and business impact effectively through written documentation, verbal discussions, architecture diagrams, and executive-level presentations (360-degree communication)
• Define, enforce, and continuously improve engineering standards, coding best practices, testing methodologies, CI/CD patterns, monitoring & alerting, and quality assurance processes
• Actively participate in design reviews, code walkthroughs, and pull request reviews across the team
• Stay current with evolving open-source technologies and recommend adoption when they provide meaningful differentiation or operational efficiency

Skills

SQL

Python for data engineering

SOX compliance experience

Data modeling for analytical workloads

Excellent communication skills

Tools

Airflow

Kafka

Spark Streaming / Structured Streaming

Flink

Vertica

SQL Server

Docker

Kubernetes

Job description

What to Expect

We are looking for a hands‑on Senior Data Engineer to help build and evolve Tesla’s next‑generation enterprise analytics platform that powers business intelligence, operational intelligence, manufacturing insights, supply chain visibility, service telemetry, energy operations, and more, all while operating under strict SOX compliance and change management controls. You will design, develop, and operate large‑scale data infrastructure in a fast‑paced, high‑impact environment where decisions affect vehicle production, global delivery, battery lifecycle, Supercharger network, Full Self‑Driving development, and energy grid optimization.

What You’ll Do

• Architect, build, and maintain state-of-the-art Enterprise Data Warehouse / Lakehouse solutions that serve both batch and near-real-time analytics use cases
• Design and implement robust ETL / ELT pipelines using Python and Apache Airflow (or modern orchestration equivalents)
• Develop and operate real‑time data streaming and processing platforms using open‑source technologies such as Apache Kafka, Apache Spark Streaming / Structured Streaming, Flink, or equivalent
• Maintain platform health – Vertica, SQL Server, Airflow, Tableau etc
• Handle sensitive financial, production, and customer data systems while strictly adhering to SOX controls, segregation of duties, change management, and audit requirements
• Partner closely with business sponsors, product managers, manufacturing engineers, service operations, finance, and IT/security teams to gather requirements, scope projects, and deliver high‑quality solutions quickly
• Communicate complex technical concepts and business impact effectively through written documentation, verbal discussions, architecture diagrams, and executive‑level presentations (360‑degree communication)
• Define, enforce, and continuously improve engineering standards, coding best practices, testing methodologies, CI/CD patterns, monitoring & alerting, and quality assurance processes
• Actively participate in design reviews, code walkthroughs, and pull request reviews across the team
• Stay current with evolving open‑source technologies and recommend adoption when they provide meaningful differentiation or operational efficiency

What You’ll Bring

• Extensive years of professional experience as a Data Engineer, Backend Engineer, or ETL developer building large‑scale data platforms
• Skilled with SQL, Python for data engineering (pandas, PySpark, SQLAlchemy, API Scrapping etc.)
• Strong Proficiency with database systems like Vertica, MySQL, SQL Server, NoSQL, OpenSearch, etc. is required
• Deep hands‑on experience designing and operating Airflow DAGs in production at scale
• Production experience with at least one distributed streaming system (Kafka, Kafka Streams, Spark Streaming, Flink, Pulsar, etc.)
• Solid understanding of data modeling for analytical workloads
• Experience building and operating systems under SOX compliance or similarly regulated environments (change control, audit trails, separation of duties, etc.)
• Strong SQL skills and understanding of distributed query engines
• Experience with containerization (Docker) and orchestration (Kubernetes / ECS) is required
• Excellent communication skills. Able to explain technical trade-offs to engineers and business value to non‑technical stakeholders

Tesla is an Equal Opportunity / Affimative 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.

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