Data Engineer, Manufacturing (m/f/d) - Gigafactory Berlin-Brandenburg

• Develop and maintain scalable data pipelines using Apache Airflow, orchestrating workflows across ClickHouse , Vertica and other datalake solutions, and distributed big data platforms (e.g., Spark, Kafka) for efficient, low-latency data ingestion and transformation.

• Lead the analysis, design, and development of Enterprise Data Warehouse solutions and data marts, delivering high-quality, business-aligned results in fast-paced environments using Agile methodologies.

• Design, engineer, and optimize enterprise-grade data warehouse and BI platforms leveraging modern tools (e.g., ClickHouse, Apache Airflow, Tableau, Power BI) to enable scalable analytics and reporting.

• Collaborate with business sponsors and cross-functional teams to gather requirements, resolve technical challenges, and align solutions with organisational goals.

• Champion company standards and compliance by enforcing methodologies, quality assurance practices, and documentation frameworks across data engineering workflows.

• Participate in design and code reviews to ensure robust, maintainable, and high-performance solutions aligned with best practices.

• Own deployment and release processes using CI/CD tools to automate workflows and ensure reliable, continuous delivery.

• Stay current with emerging technologies (e.g., Agentic AI, LLMs, distributed systems) and advocate for their strategic adoption where applicable.

• Proven experience building and maintaining scalable data pipelines using Python, Apache Airflow, and distributed orchestration frameworks.

• Hands-on experience designing Data Marts, Enterprise Data Warehouses (EDWs), and database objects across relational databases (e.g., MySQL, SQL Server), MPP systems (e.g., ClickHouse), and data lake architectures (e.g., Delta Lake, Iceberg).

• Expert-level SQL proficiency, including optimising complex queries for performance in distributed environments (e.g., ClickHouse, Spark SQL).

• Strong problem-solving skills with a track record of resolving bottlenecks in large-scale data systems and real-time pipelines.

• Excellent communication skills to translate technical concepts to business stakeholders and collaborate with cross-functional teams.

• Ability to thrive in fast-paced environments, delivering high-quality solutions under tight deadlines while adhering to Agile/Scrum practices.

• Demonstrated experience designing high-impact dashboards and reports for executive stakeholders using modern BI tools (e.g., Tableau, Power BI, Superset).

Preferred Skills:

• Experience building ETL/ELT pipelines for ClickHouse.

• Proficiency in Python (preferred) or Java for scalable data engineering solutions.

• Working with a system at scale and with Docker, Kubernetes, Jenkins or similar CI/CD tools is preferred

• Hands-on with BI tools (Tableau, Power BI) for executive dashboards.

• Knowledge of distributed computing (Spark, Flink, Presto) and Big Data ecosystems (Hadoop, Hive, Kafka).

• Exposure to Agentic AI or LLM-driven automation in data workflows.

What we offer

You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.