Senior Data Engineer

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?

We are seeking a highly skilled and motivatedSenior Data Engineer to join our growing global team of data engineering professionals. You will play a key role in building robust, scalable data-driven solutions that support critical decision-making processes for our Property & Casualty business domain.

This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges.

Responsibilities

• Design and build scalable data pipelines and data-driven solutions to support robust analytics and business decision-making
• Collaborate with cross-functional teams to gather requirements, align on data needs, and ensure seamless delivery of solutions
• Implement data modeling, documentation, and optimization strategies to streamline performance and usability
• Develop data analytics tools and dashboards to effectively communicate insights and trends
• Leverage modern coding languages like Python or TypeScript to create reliable and maintainable software components
• Ensure data accuracy, validation, and monitoring processes are automated and efficient
• Apply Agile methodologies, including Scrum, to expedite project delivery and enhance collaboration
• Take ownership of projects, driving them from inception to completion with minimal oversight
• Solve complex Big Data problems using advanced technologies like Palantir Foundry and Machine Learning techniques

Requirements

• Bachelor's degree or equivalent in Computer Science, Data Science, or a related field
• 2+ years of hands-on experience in data and technology
• Expertise in modern coding languages like Python or TypeScript
• Familiarity with SQL and relational database concepts
• Proficiency in data analytics and visualization tools
• Background in Scrum and Agile development approaches
• Understanding of building data-driven applications with storytelling capabilities
• Good communication skills in English to articulate complex ideas effectively to non-technical stakeholders

Nice to have

• Knowledge of Palantir Foundry and Microsoft Power BI
• Experience with Machine Learning or Generative AI
• Knowledge of PySpark for large-scale data processing
• Familiarity with HTML, CSS, JavaScript, and Gradle
• Knowledge of the insurance domain, the financial industry, or finance functions within other industries