Data Engineer

About The Role This position is part of the Accident & Health team within APM team in Corporate Solutions You will play an important role of driving high quality analytics & insights by combining your technical and analytical skills with the insurance knowledge of the broader organization As a Data Engineer, you will contribute to and support data management activities using most advanced Palantir technologies The data management team enables data scientists and data analysts to provide risk knowledge advice and insights as well as data analytics SaaS solutions to Swiss Re clients About The Team The APM Accident & Health team is comprised of a mix of highly experienced members already entrenched in advanced analytics and highly motivated newer members who thrives in a dynamic and fast learning environment This team reports into the Chief Underwriting Officer and is part of the?Actuarial Portfolio Management Unit About You Convincing interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment Self-starter, organized, and able to handle multiple priorities and meet deadlines Able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation Roles & Responsibilities End-to-end ownership of designing and implementing data pipelines to source, extract, transform, and load data from various sources into a data lake Collaborating with peers and senior team members to optimize data management processes Performing data quality checks and troubleshooting Maintaining comprehensive documentation and data lineage across multiple systems Contributing to developing and implementing data analytics solutions strategy Providing support to the consumers of the data Professional Experience Minimum 2-3 years of hands-on work experience in Data Engineering Hands-on experience in building ETL / ELT data pipelines is required Solid knowledge of data management disciplines, including data modelling, data quality management, and data access controls, within context of end-to-end data architecture Proficiency with Python, PySpark, and SQL, or similar programming and query languages TypeScript is a plus Ability to pick up new technologies quickly Experience with Palantir technologies Experience with Databricks, Azure Data Factory, and Azure data storage services is a plus Demonstrated ability to analyze complex data-related challenges and to identify effective solutions Software engineering and DevOps mindset Experience with Scrum/Agile development methodologies A Bachelors or Masters degree in computer science, data or software engineering, or equivalent work experience Personal Skills You are motivated to focus executing on delivering high quality results on time You can articulate and communicate your work effectively and be comfortable in presenting your work to senior team members and leaders You work for the collective success of the team in close collaboration with senior team members You are open and dependable; and demonstrate collaboration and intercultural competence Educational level A Bachelors or Masters degree in computer science, data or software engineering, or equivalent work experience About Swiss Re Swiss Re is one of the worlds 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: 133327 Show more Show less