Data Engineer

Data Engineer I

About the Role

 

As a Data Architect, you'll be at the intersection of business needs and technical implementation, designing and developing end-to-end data pipelines that transform raw information into actionable insights. You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions.

 

Key Responsibilities

 

• Design and implement data storage solutions including data lakes and data warehouses
• Develop and maintain robust data pipelines to extract, transform, and load data from various source systems
• Create and manage data models to support analytical and operational requirements
• Optimize data storage and processing for performance, cost, and reliability
• Collaborate with business stakeholders to understand requirements and provide efficient solutions
• Integrate data from multiple sources, including APIs, databases, and external data providers
• Ensure data quality and integrity through validation and transformation processes
• Document data engineering processes, systems, and standards
• Monitor and optimize the performance of data systems and pipelines
• Promote best practices for data management and engineering
• Partner with Product Owners and Engineering Leads to build target architectures and improve business processes

 

About the Team

 

The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.

 

About You

 

You're a problem-solver at heart with a passion for data and technology. You thrive in collaborative environments where you can apply your technical expertise to create solutions that deliver business value. You enjoy staying current with emerging technologies and are committed to continuous learning and improvement.

 

We are looking for candidates who meet these requirements:

 

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Mathematics, Engineering, or Statistics
• 4-6 years of experience designing and implementing end-to-end data pipelines, data models, and analytical dashboards
• Strong programming skills with proficiency in Python, PySpark, SQL, and TypeScript
• Experience with data visualization tools like Palantir Workshop, Slate, and Contour
• Proficiency in Spark-based data lake design and operations
• Experience with integration technologies including REST/SOAP APIs and event-based architecture

 

These are additional nice to haves:

 

• Palantir certification, Azure Data Engineering certification, or AI-102 Azure AI Engineer certification
• Experience with relational databases such as Oracle and Azure SQL
• Familiarity with cloud platforms (particularly Azure) and their data services
• Experience with data modeling and schema design
• Strong interpersonal, written, and verbal communication skills
• Ability to explain technical concepts to non-technical audiences

Experience working in Agile/Scrum environments

 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

 

Keywords:  
Reference Code: 137378 

 

 

Experience Level

Senior Level