Data Engineering

About Us

Zurich Insurance Company is a leading provider of insurance products and services, committed to delivering innovative solutions and exceptional customer service. Our ZCAM (Zurich Customer Active Management) team turns customer data into practical business solutions to drive the implementation of our ambitious customer strategy.

If you are a talented and experienced Data Engineer, passionate about managing data and have a strong background in data modelling, we would love to hear from you.

So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work with us.

The opportunity: DATA ENGINEER

The Data Engineer will be responsible for leading and powering data-driven decisions and leveling-up the data and analytics tools of the Zurich organization. By leveraging new technology, the ZCAM data engineering team ensures that all stakeholders in the organization can efficiently access reliable and accurate data. Data engineers will develop, implement, and refine the standards, tools, and methodologies that make up the desired analysis environment within the organization. Their expertise will help create a strong data foundation within Zurich that keeps everyone informed and moving forward.

Responsibilities

• Defining and implementing scalable and flexible data analytics architecture based on current and future business needs mainly utilizing Databricks platform
• Implementing, maintaining and optimizing complex data pipelines to process large amounts of data
• Integration, consolidation, cleansing and structuring of large data sets to enable business insights, reporting and ML/AI use cases
• Delivering business insights by consolidating various data sources to understand business performance (e.g. sales data, customer satisfaction data, digital analytics data) 
• Sourcing, collecting and researching new internal and open source external data sets
• Defining and implementing data governance processes
• Plan and prepare data engineering and analysis work between technical teams
• Engage with business stakeholders to prepare and coordinate data sharing and data transfer activities
• Support deployment, monitoring and maintenance of ML/AI models

Requirements

• University degree in physics, math, computer science or a related field
• Professional experience in related role and/or demonstrated competency (projects) utilizing relevant technologies
• Good understanding of concepts and technologies underpinning modern data platforms (storage, compute, etc.) and how they fit into the bigger picture
• Experience in data modelling and designing/implementing scalable and efficient ETL/ELT pipelines
• Knowledge of SQL, Python
• Experience with using cloud technologies in the context of solving data engineering challenges
• Understanding of ML/AI and MLOps experience
• Understanding and experience in solving data governance challenges utilizing modern technology
• Excellent verbal and written communication skills including the ability to explain technical issues, solutions and results to a non-technical audience
• Strong work ethic and willingness to share your opinion and challenge status quo
• Strong problem-solving skills, analytical mind and attention to detail
• Experience in preparing and presenting business-focus materials to stakeholders is essential
• Customer-oriented team player with good communication abilities, fostering effective collaboration and teamwork
• Strong proficiency in both English and Portuguese is required, Spanish language skills are a plus

Additional Information

We look forward to receiving your online application.  

Zurich wants to attract the best talent and we acknowledge that talents might not always be available full-time. At Zurich we will consider requests for flexible working. Many of our employees work flexibly in a variety of ways. Please talk to us during the interview about the flexibility you may need.

Zurich not providing relocation nor work permit assistance for these particular roles.

Location: Brazil - São Paulo-SP (Tower Bridge)