Data Engineer implementing data pipelines on Snowflake platform with a focus on innovation and collaboration for Zurich's data projects.
About the role
- Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high-quality analytics and AI-ready data.
Responsibilities
- Support Global Operations by designing, building, and maintaining reliable data pipelines and platforms.
- Enable high‑quality analytics and AI‑ready data while improving automation, performance, and scalability.
- Close collaboration with technical and business partners.
- Design, build, and maintain scalable data pipelines and integrations that support analytics and AI use cases.
- Develop high‑quality, well‑tested code that follows best practices for readability, security, and maintainability.
- Use SQL as a primary tool to query, transform, validate, and optimize data across systems.
- Document data requirements and contribute to specifications for analytics and AI‑enabled workflows.
- Troubleshoot and resolve data issues through root cause analysis and appropriate automation or tooling.
- Identify opportunities to improve efficiency through automation, orchestration, or AI‑assisted processes.
- Participate in code reviews and development processes that promote reproducibility, transparency, and data quality.
- Support database and data flow management to ensure systems meet organizational standards for reliability and AI readiness.
Requirements
- Professional experience in data engineering, data management, or a related technical role.
- Strong, hands‑on SQL expertise required, including writing complex queries, performance tuning, and data validation.
- Experience with data modeling, file management, and data transformation workflows.
- Working knowledge of at least one additional programming or scripting language (such as Python, Java, or similar).
- Experience with databases, data platforms, or cloud services (for example, AWS, Azure, GCP, Redshift, or Teradata).
- Familiarity with version control, testing, and core software development practices.
- Strong problem‑solving skills and clear, collaborative communication.
- Experience with ETL/ELT processes or general workflow orchestration concepts.
- Exposure to AI, machine learning, or data automation tools and practices.
- Experience with data visualization tools (such as Tableau or similar).
- A bachelor’s degree in a related field or equivalent practical experience.
Benefits
- We promote a healthy work/life balance across the organisation.
- We offer an appealing working prospect for our people.
- Numerous wellbeing initiatives.
- Shared parental leave.
- Study assistance.
- Sabbaticals.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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