Data Engineer (f/m/x)

IONITY is a joint venture of the car manufacturers BMW Group, Ford Motor Company, Hyundai Motor Group, Kia, Mercedes-Benz AG and Volkswagen Group with Audi and Porsche, along with BlackRocks Climate Infrastructure Platform as financial investor.
We're looking for skilled Data Engineer to play a key role in shaping the future of electric vehicle charging! Your role is to support our business by designing, engineering, and developing our data management systems and processes on a modern cloud infrastructure.
As part of our core data team, you'll collaborate with a diverse range of internal and external stakeholders across the EV charging landscape. You'll be a trusted advisor, providing strategic and technical guidance on all aspects of IONITY's data lifecycle.


Responsibility:
In the data team, you will lead the design and development of our data platform as well as support all data-related activities as a technical expert.
In particular:
You build, automate, and maintain production pipelines for data centered around EV charging in the cloud. You design the structure and schema of our central data lake and data warehouse. You work together with Data Scientists, Data Analysts and Business Stakeholders to implement data-based solutions that help growing our business. You advocate a data-driven mindset and involve yourself in developing our data strategy.
A degree in Informatics, Mathematics, Statistics, or a related field or equivalent professional experience as a Data Engineer. Strong analytical thinking and problem-solving skills. Willingness to excel as a team and individually. Highly motivated and proactive, with a flexible, can-do attitude. Excellent communication and interpersonal skills, enabling you to effectively collaborate with diverse teams. Fluency in English. Your skills
Our main technical focus is on data pipelines, database systems, and Python coding skills.
Excellent programming skills in Python and its data-related ecosystem. Strong database & SQL skills. Experience with message queues, batch and stream data processing. Knowledge of data modelling, processing, cleaning and schema consolidation. Experience in collaborative coding, version control systems and in building and deploying CI/CD pipelines. Proficiency in data communication APIs (e.g. REST), protocols (e.g. FTP, and formats (e.g. JSON, CSV, parquet). Preferable: Knowledge of data-related AWS-Services (RDS, S3, Glue, Athena, SageMaker, …) and provisioning them as Infrastructure as Code. Preferable: Familiarity with Apache Airflow.