In this role, you will play a vital part in designing and implementing advanced data pipelines and analytics solutions that support critical decision-making processes in the client’s business unit. This is a unique opportunity to contribute to a high-impact Data Transformation project that utilizes cutting-edge technologies, including Big Data, Palantir, and Machine Learning.

This position is part of the Property & Casualty Data Integration and Analytics project within the Data & Foundations division. The team is focused on a global initiative to leverage Property & Casualty data to improve decision-making across the reinsurance lifecycle. You will work closely with industry experts, data scientists, and engineers to develop innovative data and analytics capabilities aligned with the client’s strategic goals.

If you are an enthusiastic engineer with substantial experience in large-scale data solutions, we encourage you to become part of our global, multicultural, and dynamic team delivering transformative outcomes. This position offers the flexibility to work remotely or collaborate at one of our offices.

_Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

_Responsibilities

Design robust data pipelines using PySpark and Python to process large datasets
Collaborate with cross-functional teams to transform business requirements into scalable technical solutions
Use Palantir Foundry to develop analytics applications for strategic and operational insights
Manage data integration workflows across distributed systems, creating high-quality ETL/ELT processes
Write advanced SQL queries for data transformation and warehousing
Adopt Agile methodologies and actively contribute to Scrum ceremonies to align tasks with project objectives
Document technical solutions and workflows to facilitate knowledge sharing and maintainability
Identify and resolve data processing or platform issues in production-grade environments
Stay informed about advancements in cloud technologies, Big Data processing, and Machine Learning
Conduct code reviews and foster adherence to software engineering best practices

Requirements

Palantir Foundry expertise, demonstrating prior hands-on experience
5+ years of experience with a focus on distributed computing or analytics systems
Proficiency in Python and PySpark for scalable data workflows
Background in SQL (preferably Spark SQL) for efficient querying and warehousing applications
Understanding of ETL/ELT processes for handling large datasets
Strong competency in Scrum and Agile development methodologies
Bachelor’s degree in Computer Science, Data Science, or a related technical discipline
Analytical problem-solving skills paired with a strategic mindset for complex challenges
Ability to independently manage workload while ensuring consistent delivery on commitments
Excellent communication skills and a collaborative approach, including work experience in multicultural, global teams
Dedication to learning and staying updated on emerging technologies and data engineering best practices

Nice to have

Background in insurance, financial industries, or finance-related data workflows
Knowledge of front-end technologies including HTML, CSS, JavaScript, and build tools such as Gradle
Skills in using Microsoft Power BI for data dashboards and reporting
Expertise in Machine Learning or implementing Generative AI models
Understanding of statistical models for integration into data pipelines
Familiarity with Azure, AWS, or GCP cloud platforms for high-quality engineering solutions

We offer

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 295+ 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 Latvia, whether it's your home or our office in Riga.
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

_Salary range €3.4K-€5K gross, based on your experience and interview results.

_About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

With offices in 55+ countries, EPAM has grown in Latvia to over 888+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.