Python Job: Senior ML-Data Engineer - EV

Senior ML/Data Engineer - EV
Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz holds the largest EV rental fleet and is combining its brand strength and global fleet management expertise with new technology and innovations to chart a dynamic, new course for travel, mobility and the auto industry. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in electrification, shared mobility and a digital-first customer experience.
At Hertz, our senior ML/data engineers are responsible for defining processes, developing, and maintaining high performance data pipelines and workflows that support ML, advanced analytics, and software products.
As a senior ML/data engineer at Hertz you will have the opportunity to work on impactful strategic initiatives and use state of the art technologies to solve complex problems to enable and optimize our digital, connected fleet, pricing, and ridesharing products.
Your main objective is to define and develop ML-Ops processes and techniques to build and maintain data pipelines and fully automated workflows for the data science team to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to leadership teams to inform strategy and highlight potential risks and opportunities that initiate the drive for change.
Your benefits: Fuelling your journey

• Relocation package and assistance from our cool relocation team
• Free on-site Doctor, Nurse and Physiotherapy services
• Pension scheme
• Discount on private health Insurance
• On-site Gym
• Subsidised staff restaurant
• Sports and Social Club
• Language classes
• Training and development programmes
• Incentives
• Staff Car Rental and Sales discount
• Free Parking

Key Responsibilities:

• Define and implement best practices and coding standards for Big Data ETL pipelines and ML-Ops frameworks.
• Building, maintaining, optimizing, and automating scalable and highly performant data pipelines in cloud infrastructure.
• Data acquisition, data ingestion, data cleansing, data transformation, and data migration.
• Design, implement, and test data integrations and ETL processes and provide detailed documentation.
• Improving data integrity and quality, and implementing modern solutions and frameworks to streamline existing processes.
• Identify trends in datasets and develop workflows and algorithms to take advantage of raw data flows.
• Identify opportunities for data acquisition from internal and external sources.
• Curate rich datasets and prepare data for predictive and prescriptive modeling.
• Strive to engineer excellence by simplifying, optimizing, and automating processes and workflows.
• Ensure processes and outputs are thoroughly tested before release to production environments.
  

Required Skills and Experience

• Minimum of 5 years hands-on experience in a data engineering role.
• Minimum 3 years of intensive experience with cloud-based Big Data, BI, and Analytics technologies, preferably AWS.
• Strong expertise with Big Data tools such as Databricks/Spark/PySpark and serverless architectures.
• Experience with event driven architectures and data streaming pub/sub technologies such as Kafka and Kinesis.
• Strong capabilities in scripting languages such as Python etc.
• Strong interpersonal and communication skills with Agile/Scrum experience.
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.

Required Education

• A bachelor's degree or higher in Computer Science, Information Systems, Information Technology or related field.

About us

Hertz Global has an exciting portfolio of rental car brands - including Hertz, Dollar, Thrifty and Firefly, as well as Donlen. We are one of the largest worldwide airport vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

Our mission is to be the preferred rental car company and you have the opportunity to help steer this mission. Get in touch today and APPLY NOW