New

Senior/Lead Data Engineer (Databricks, Python, .NET)

Bulgaria, Hungary, Lithuania, Poland, Romania

We are looking for a highly motivated Data Engineer with additional Software Engineering expertise to join our team. This role is split between Data Engineering (80%) and Software Engineering (20%), so the ideal candidate should be comfortable working across both domains. You will work on building and maintaining scalable data pipelines, while also supporting and migrating an existing .NET codebase into Python (Databricks).

This position requires not only technical expertise but also strong communication skills and the ability to become an active part of an international team.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

The customer is a leading provider of software solutions and healthcare services. They provide hospitals and health systems and help those systems generate better data and insights to enable better healthcare.

The customer offers a robust portfolio of solutions that can be fully integrated and custom-configured to help healthcare organizations efficiently capture information for assessing and improving the quality and safety of patient care.

Project Tech Stack

  • Python (Databricks, PySpark)
  • .NET (maintaining existing codebase, migration to Python in Databricks)
  • SQL

What You’ll Do

  • Design, develop, and maintain data pipelines and ETL workflows in Databricks (PySpark, Python)
  • Support and gradually migrate the existing .NET codebase to Python-based solutions
  • Write and optimize SQL queries for data extraction, transformation, and analysis
  • Ensure reliability, performance, and scalability of data workflows
  • Collaborate with cross-functional teams and stakeholders to define requirements and deliver data-driven solutions
  • Participate in code reviews, knowledge sharing, and best practice adoption across the team

What You Bring 

  • 5+ years of experience as a Data Engineer (or Software Engineer with strong data focus)
  • Proficiency in Python (including Databricks and PySpark)
  • Experience working with .NET applications and readiness to support/migrate existing solutions
  • Strong knowledge of SQL
  • Ability to write clean, maintainable, and well-documented code
  • Willingness to learn and dive into new technologies
  • Strong communication skills: not only reporting work progress but also engaging in informal team interactions

Nice to have

  • Experience with data modeling, performance tuning, or distributed systems
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Background in software engineering best practices (CI/CD, testing, version control)

English level

Upper-Intermediate

Legal & Hiring Information

  • Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
  • Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
  • Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Advantages of Working with Exadel 

Exadel is a global company, and benefits can vary depending on your location and contract type. Your recruiter will provide specific information about the benefits available to you.

  • International projects
  • In-office, hybrid or remote mode
  • Medical healthcare
  • Recognition program
  • Professional & personal development opportunities
  • Foreign languages classes
  • Well-being program
  • Corporate events
  • Sports compensation
  • Referral program
  • Equipment provision
  • Paid vacation & sick days

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