Senior Data Software Engineer

We are looking for an experienced Senior Data Software Engineer who excels at overcoming complex data transformation challenges. 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.

ResponsibilitiesDesign robust data pipelines using PySpark and Python to process large datasetsCollaborate with cross-functional teams to transform business requirements into scalable technical solutionsUse Palantir Foundry to develop analytics applications for strategic and operational insightsManage data integration workflows across distributed systems, creating high-quality ETL/ELT processesWrite advanced SQL queries for data transformation and warehousingAdopt Agile methodologies and actively contribute to Scrum ceremonies to align tasks with project objectivesDocument technical solutions and workflows to facilitate knowledge sharing and maintainabilityIdentify and resolve data processing or platform issues in production-grade environmentsStay informed about advancements in cloud technologies, Big Data processing, and Machine LearningConduct code reviews and foster adherence to software engineering best practicesRequirementsPalantir Foundry expertise, demonstrating prior hands-on experience5+ years of experience with a focus on distributed computing or analytics systemsProficiency in Python and PySpark for scalable data workflowsBackground in SQL (preferably Spark SQL) for efficient querying and warehousing applicationsUnderstanding of ETL/ELT processes for handling large datasetsStrong competency in Scrum and Agile development methodologiesBachelor’s degree in Computer Science, Data Science, or a related technical disciplineAnalytical problem-solving skills paired with a strategic mindset for complex challengesAbility to independently manage workload while ensuring consistent delivery on commitmentsExcellent communication skills and a collaborative approach, including work experience in multicultural, global teamsDedication to learning and staying updated on emerging technologies and data engineering best practicesNice to haveBackground in insurance, financial industries, or finance-related data workflowsKnowledge of front-end technologies including HTML, CSS, JavaScript, and build tools such as GradleSkills in using Microsoft Power BI for data dashboards and reportingExpertise in Machine Learning or implementing Generative AI modelsUnderstanding of statistical models for integration into data pipelinesFamiliarity with Azure, AWS, or GCP cloud platforms for high-quality engineering solutionsWe offerEngineering 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 EPAMEPAM 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.