Are you a motivated and innovative person, interested in driving strategic projects for one of the largest global insurers? Then this job is definitely something for you.
The Senior Data Engineer will be responsible for helping to power data-driven decisions and advancing the data and analytics tools of the Zurich organization. By leveraging new technology, the ZCAM (Zurich Customer Active Management) data engineering team ensures that all stakeholders in the organization can efficiently access reliable and accurate data. Data engineers develop, implement, and refine the standards, tools, and methodologies that make up the desired analysis environment within the organization. Their expertise helps create a strong data foundation within Zurich that keeps everyone informed and moving forward.
What you will do
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
What you bring
Multiple years of experience in related roles utilizing Databricks platform and related technologies for solving data engineering challenges
Good understanding of concepts and technologies underpinning modern data stack (storage, compute, governance, MLOps, etc.) with focus on Databricks platform
Experience in data modelling and designing/implementing scalable and efficient ETL/ELT pipelines on Databricks platform
Knowledge of SQL, Python and Spark
Understanding of ML/AI and MLOps experience on Databricks platform (MLflow)
Understanding and experience in solving data governance challenges utilizing Unity catalog (or related technology) in the context of Databricks platform
Experience with optimizing all aspects of Databricks workloads
Excellent problem-solving skills and analytical mind
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
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.
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Information for recruitment agencies
Zurich does not accept any applications from recruitment agencies for this position. We refuse any responsibility for unsolicited applications as well as any associated fees.
Why Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!
Join us as we constantly explore new ways to protect our customers and the planet .