Senior Palantir Data Engineer

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?

EPAM is looking for a skilled Senior Palantir Data Engineer to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property & Casualty business domain.

If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!

Responsibilities

  • Lead the design and implement robust, large-scale data pipelines and analytics solutions
  • Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages
  • Optimize data workflows to support critical decision-making processes
  • Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges
  • Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies
  • Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property & Casualty value chain
  • Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem

Requirements

  • Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline
  • 5+ years of experience working with large-scale distributed computing systems
  • Proficiency in Python/PySpark to build and optimize complex data pipelines
  • Hands-on experience working with Databricks for large-scale data processing and analytics
  • Strong SQL skills (preferably Spark SQL) for data querying and manipulation
  • Deep understanding of data warehousing concepts and ELT techniques
  • Experience with Palantir Foundry is a must
  • Familiarity with Agile and Scrum development methodologies
  • Strong analytical and problem-solving skills
  • Self-starter with a positive outlook and an eagerness to learn
  • Self-direction and effective workload management
  • Ability to work enthusiastically in a global and multicultural environment
  • Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts

Nice to have

  • Knowledge of HTML, CSS, JavaScript and Gradle
  • Experience in the insurance domain or the financial industry
  • Familiarity with Microsoft Power BI
  • Exposure to Machine Learning or Generative AI technologies

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

See also

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