We are seeking a Senior Data Engineer to build, maintain, and evolve data platforms that power a specialized clinical study management application. You will own modern pipelines end-to-end to ensure high-quality, reliable, and available data for critical analytics and operations—apply to help shape trusted data at scale.

Responsibilities

Design scalable and reliable data pipelines for ingestion, transformation, and consumption
Build and operate ETL/ELT processes using modern data engineering approaches
Develop and optimize data transformations using Python, PySpark, and dbt
Design and administer Snowflake storage and processing solutions
Define and apply best practices for data modeling, data architecture, and information governance
Ensure data quality, consistency, and traceability across the data lifecycle
Implement CI/CD strategies to automate testing and deployments for data pipelines
Monitor platforms and resolve incidents affecting integrations and data processes
Collaborate with development, product, analytics, and business teams to translate requirements into technical solutions
Identify and implement improvements in performance, scalability, security, and maintainability
Document architectures, technical processes, and engineering standards

Requirements

3+ years of data engineering experience
Strong Python development experience
Advanced PySpark experience for distributed data processing
Hands-on Snowflake experience (modeling, optimization, administration)
Practical dbt (Data Build Tool) experience for transformations
CI/CD experience for data solutions
Version control experience with Git
Technical leadership ability to work autonomously and lead complex initiatives
Strong analytical and problem-solving skills
Effective communication skills with technical and functional teams
Advanced English proficiency (C1, Advanced)

Nice to have

Cloud platform experience (AWS, Azure, or GCP)
Orchestration tool experience (Airflow or similar)
Experience in regulated environments (healthcare, pharma, or clinical research)
Data quality and pipeline observability knowledge
Agile/Scrum experience

We offer/Benefits

Comprehensive wellness: WellHub Plan (Gympass) with access to thousands of centers, annual ophthalmological operation and exclusive discounts on health and beauty
100% Payroll Scheme
Legal Benefits
Benefits Package
Professional Development Plan
Multicultural Collaboration
Commercial Agreements and Discounts: Through exclusive agreements with partner companies, EPAMers and their families have access to special prices on products and services, offered as discounts for being part of EPAM
Development opportunities
Referal Program
Home office support: Connectivity bonus for your remote work needs

EPAM NEORIS is a digital accelerator that supports some of the world’s leading companies in addressing business challenges and advancing their technology evolution, combining global engineering excellence with regional expertise and local proximity.
With operations across 11 countries in Ibero-America and more than 4,000 professionals in the region, we foster a diverse and inclusive culture focused on collaboration, continuous learning, and innovation.
As part of EPAM, a global network of more than 60,000 professionals across 55+ countries, we help organizations scale, modernize, and accelerate their digital capabilities through Cloud, Data & Analytics, Artificial Intelligence, Cybersecurity, Intelligent Automation, Strategic Consulting, and Software Engineering.
At EPAM NEORIS, we believe growth is also driven by people. That is why we promote an environment where every professional can grow, contribute new ideas, and participate in projects with regional and global impact.

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.