Overview

We are seeking a proactive and seasoned Lead Data Software Engineer to guide our team and drive the development of a cutting-edge platform for our client. Our client 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.

Opportunity

This is a unique opportunity to take the lead on a transformative project, collaborating with a talented team to deliver innovative solutions using industry-leading technologies.

Responsibilities

• Collaborate with cross-functional teams to design, build, and implement scalable data solutions on the Palantir platform, acting as a technical leader.
• Lead the development of Spark-based data pipelines, ensuring high performance for large-scale data processing.
• Establish coding guidelines while writing efficient and clean Python code.
• Utilize PySpark for data manipulation within distributed frameworks.
• Conduct root cause analysis on data to address business questions.
• Define and implement DevOps/DataOps practices.
• Architect scalable data models and structures.
• Oversee relational database operations and optimization.
• Serve as a trusted advisor for strategic and technical expertise.
• Communicate effectively with key stakeholders to ensure project alignment.
• Mentor Junior and Mid-level Engineers on best practices.
• Promote a culture of innovation within the team.

Requirements

• 5+ years of experience in Data Software Engineering.
• Leadership experience exceeding 1 year.
• Proven expertise with Palantir, PySpark, and Python.
• Deep knowledge of Spark data pipelines and optimization.
• Advanced proficiency in relational databases and SQL.
• Strong background in data analysis and analytics.
• Expertise in DevOps/DataOps methodologies.
• Ability to translate business requirements into technical decisions.
• Strong leadership and interpersonal skills.
• Excellent command of English (B2+ level).

Nice to have

• Familiarity with insurance or financial industries.
• Hands-on experience with Azure Databricks.
• Experience working with Azure Data Services.

We offer

• International projects with top brands.
• Work with global teams of skilled peers.
• Healthcare benefits and employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling, and certification courses.
• Unlimited access to LinkedIn Learning library.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.