Senior Data Software Engineer

We are looking for an experienced Senior Data Software Engineer who thrives on solving complex data transformation challenges. In this role, you will play a critical part in designing and implementing sophisticated data pipelines and analytics solutions that empower key decision-making processes in the client’s business unit. This is a unique opportunity to work on a high-impact Data Transformation project that leverages cutting-edge technologies, including Big Data, Palantir, and Machine Learning.

This role is part of the Property & Casualty Data Integration and Analytics project under the Data & Foundations division. The team is working on a global initiative to harness Property & Casualty data to drive enhanced decision-making across the reinsurance lifecycle. You will collaborate with industry experts, data scientists, and engineers to develop transformative data and analytics capabilities for the client’s strategic priorities.

If you are a passionate engineer with hands-on experience in large-scale data solutions, we invite you to join our global, multicultural, and dynamic team driving transformative outcomes. This role offers the flexibility to work remotely or collaborate with colleagues at one of our offices.

This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.

• Design, develop, and optimize robust data pipelines using PySpark and Python to process large datasets
• Collaborate with cross-functional teams to understand complex business requirements and transform them into scalable technical solutions
• Utilize Palantir Foundry to build and manage analytics applications that enable strategic and operational insights
• Manage data integration workflows across distributed computing systems, building high-quality ETL/ELT processes
• Develop advanced SQL queries for data querying, transformation, and warehousing
• Stay engaged with Agile methodologies and participate in Scrum ceremonies to align work with the broader project goals
• Document technical solutions and workflows to ensure knowledge sharing and long-term maintainability
• Troubleshoot and resolve data processing or platform issues in a fast-paced, production-grade environment
• Stay up-to-date with the latest advancements in cloud technologies, Big Data processing, and Machine Learning
• Participate in code reviews and promote best practices in software engineering

• Palantir Foundry expertise—prior hands-on experience is essential for this role
• 5+ years of experience, with a focus on large-scale distributed computing or analytics systems
• Strong proficiency in Python and PySpark for building scalable data workflows
• In-depth knowledge and experience in SQL (preferably Spark SQL), enabling efficient data querying and warehousing
• Experience designing and implementing ETL/ELT processes for large datasets
• Solid understanding of Scrum and Agile development principles
• Bachelor’s degree in computer science, Data Science, or a related technical field
• Strong analytical and problem-solving skills, with a strategic mindset for tackling complex challenges
• Highly self-driven and capable of managing workload independently while delivering on commitments
• A collaborative mindset, paired with clear and effective communication skills, including experience working in global, multicultural settings
• Eagerness to learn and stay current with emerging technologies and best practices in data engineering and analytics

Nice to have

• Familiarity with insurance, financial industries, or finance-related data workflows
• Knowledge of front-end technologies like HTML, CSS, JavaScript, and build tools like Gradle
• Experience with Microsoft Power BI for building data dashboards and reports
• Hands-on experience with Machine Learning or implementing Generative AI models
• Understanding of statistical models and their applications in data pipelines
• Exposure to Azure, AWS, or GCP cloud platforms, enabling high-quality engineering solutions

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more