We are seeking a Senior Data Software Engineer to join our Data & Analytics team, focusing on utilizing cloud-native technologies in our Microsoft Azure environment.

You will be pivotal in processing large volumes of financial data, innovating to enhance scalability, reduce processing latency, and increase processing transparency. The ideal candidate will be involved in every stage of the development lifecycle, from engineering robust solutions to collaborating with business partners and supporting operations.

The remote option applies only to the Candidates who will be working from any location in Greece.

Responsibilities

• Develop and maintain high-stability, performant solutions within the Microsoft Azure environment
• Utilize Databricks, Azure DevOps, Delta Lake tables, and spark structured streaming in project implementations
• Collaborate with business partners and IT experts to understand requirements and shape solutions
• Participate in code reviews to ensure software quality
• Ensure accurate and up-to-date documentation of processes and solutions
• Support operations team in addressing complex problems
• Improve and maintain data processing pipelines used in financial data analysis
• Break down complex requirements into achievable tasks
• Ensure solutions are effectively tested and aligned with business needs

Requirements

• At least 3 years of experience in Data Software Engineering
• Proven core Python software engineering skills, ideally in a finance data context
• Proficiency in Apache Spark and familiarity with Delta Lake tables
• Strong background in relational data models and SQL
• Experience using automated testing to ensure software quality
• Strong analytical skills with the ability to manage complexity
• Self-driven and proactive in addressing issues and opportunities
• Fluent in English with effective collaboration skills in both in-person and remote settings
• Competency in working within a Cloud-native environment, specifically with Microsoft Azure technologies
• Ability to work onsite approximately 3 days per week

Nice to have

• Experience in Lakehouse architecture
• Understanding of low latency processing mechanisms
• Prior exposure to financial data processing systems

We offer

• For you:
  • Paid annual vacation
  • Paid sick leave days
  • Private health insurance
  • Stable income
  • Meal and home office compensation
• For your comfortable work:
  • Remote and hybrid work opportunities
  • Corporate laptop
  • Possibility to work on your own device
  • Free licensed software
  • Relocation opportunities
  • Free wellbeing activities
• For your growth:
  • Possibility to create a Personal Development Plan from the first day in the company
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Language courses
  • Internal technical and non-technical communities
  • Possibility to contribute in internal, opensource products

EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.