Senior Data Engineer

We are seeking a Senior Data Engineer to design and implement robust, scalable data-driven solutions that support key decision-making processes within the Property & Casualty business domain.

This role offers the opportunity to work on cutting-edge projects utilizing Big Data and Machine Learning to address emerging challenges in the insurance industry.

Responsibilities

• Design and build scalable and efficient data systems to enable data-driven decision-making
• Collaborate with cross-functional teams to gather and understand data requirements
• Implement data pipelines to extract, transform, and load (ETL/ELT) data from various sources
• Develop data models that support advanced analytics and reporting needs
• Utilize modern programming languages to build data-driven applications focused on user needs
• Ensure the quality and reliability of datasets through validation and testing
• Visualize data insights and tell compelling stories through dashboards using tools like Microsoft Power BI
• Optimize performance and scalability of data infrastructure to meet growing business demands
• Maintain thorough documentation of data architecture, pipelines, and processes
• Stay updated on industry trends and emerging technologies to propose innovative solutions
• Adhere to Agile and Scrum methodologies to ensure effective project delivery
• Support the adoption and use of advanced platforms such as Palantir Foundry

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field
• 3+ years of experience in data engineering, analytics, or related fields
• Expertise in Python, TypeScript, and SQL with a deep understanding of relational databases
• Skills in data modeling, data visualization, and storytelling with data
• Proficiency in Microsoft Power BI and familiarity with Agile development approaches like Scrum
• Experience working with Palantir Foundry or other advanced data platforms
• Background in Insurance, Financial Services, or Finance-related industries is a strong advantage
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders

Nice to have

• Knowledge of Big Data technologies and frameworks
• Proficiency in PySpark for distributed data processing
• Background in Machine Learning or Generative AI applications
• Familiarity with insurance domain concepts or the Property & Casualty business
• Understanding of ETL/ELT solutions and best practices
• Familiarity with HTML, CSS, JavaScript, and Gradle

Benefits

For your comfortable work:

• Remote and hybrid work opportunities
• Option to work from our centrally located office in Athens
• Corporate laptop provided
• Private health insurance
• Meal vouchers / restaurant tickets
• My Benefit card (264€/year)
• Monthly public transportation card

For your growth:

• Global and diverse client portfolio, large-scale projects, and trendy technologies
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunity to contribute to internal and open-source products
• Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
• Possibility to create a Personal Development Plan from the first day in the company
• Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
• Certification opportunities
• Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
• Language courses