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Data Engineer (f/m/x)

IONITY GmbH

München

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading electric vehicle charging company is seeking a skilled Data Engineer to support the development of data management systems on cloud infrastructure. This role involves building production data pipelines, designing data structures, and collaborating with teams to implement solutions. Key qualifications include a degree in a relevant field, strong skills in Python and database management, and effective communication abilities. Fluency in English is required, with a preference for candidates located in Munich.

Qualifikationen

  • Degree in a relevant field or equivalent professional experience.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Fluency in English.

Aufgaben

  • Build, automate, and maintain production pipelines for EV charging data.
  • Design the structure and schema of our central data lake and warehouse.
  • Collaborate with Data Scientists and Business Stakeholders for data solutions.
  • Advocate a data-driven mindset and develop our data strategy.

Kenntnisse

Python programming
Database & SQL skills
Data pipelines
Data processing & cleaning
Collaboration & version control
Data communication APIs
AWS services knowledge
Apache Airflow familiarity

Ausbildung

Degree in Informatics, Mathematics, Statistics, or related field
Jobbeschreibung
Overview

Permanent employee, Full-time · Germany Office Munich

Your mission

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.

Responsibilities
  • 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.
Your profile / Qualifications
  • 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.
  • Munich located preferred.
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, HTTP), 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.

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.

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