Senior Data Engineer

Application Engineer III (Data Engineer)

Data Engineer (Python / PySpark / SQL / AI)

Are you a forward-thinking Data Engineer with a passion for exploring uncharted technological territories? Join us in transforming how businesses leverage data through innovative AI applications and cutting-edge solutions. We're seeking a curious mind who can connect dots across complex data landscapes and drive pioneering initiatives that others haven't yet imagined.

About the Role

As a Data Engineer on our team, you'll be at the intersection of data infrastructure and artificial intelligence, creating pathways for AI-driven insights from diverse data sources, including SAP systems. This role offers the unique opportunity to blaze new trails in how we extract value from enterprise data.

Key Responsibilities

• Design and develop robust data pipelines using Python, PySpark, and SQL to support AI and analytics initiatives

• Architect and implement scalable data solutions that connect disparate systems, with special focus on SAP data integration

• Explore and pioneer new AI use cases leveraging enterprise data that haven't been previously attempted

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

• Optimize existing data workflows for improved performance, reliability, and scalability

• Research and implement innovative approaches to data extraction, transformation, and loading processes

• Ensure data quality, governance, and security standards are maintained across all solutions

• Document technical processes and knowledge to enable team growth and solution sustainability

About the Team

You'll join a diverse and dynamic team of SAP application engineers and technical business analysts working in a collocated agile setup. Our globally distributed team operates from Zurich, Bratislava and India, collaborating with stakeholders worldwide to deliver exceptional results.

About You

You're a naturally curious problem-solver who thrives when exploring uncharted territory. You have a talent for quickly grasping complex concepts and connecting seemingly unrelated ideas to create innovative solutions. Your technical expertise is matched by your ability to communicate complex technical concepts clearly and your drive to continuously learn and adapt in a rapidly evolving field.

We are looking for candidates who meet these requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field

• Minimum 7 years of experience

• Strong proficiency in Python programming with experience building data pipelines and ETL processes

• Hands-on experience with PySpark for large-scale data processing

• Advanced SQL skills for complex data manipulation and analysis

• Demonstrated experience with AI/ML technologies and their practical applications in business contexts

• Proven ability to work independently and drive initiatives from concept to implementation

These are additional nice to haves:

• Experience working with SAP systems - S4/HANA and extracting/transforming SAP data

• Knowledge of interfaces and their designs

• Familiarity with data visualization tools and techniques

• Understanding of data governance principles and practices

• Previous work in implementing AI solutions in enterprise environments

• Experience with real-time data processing frameworks

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

 

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: 137451 

 

 

Experience Level

Senior Level