General Information

Position
Databricks Data Engineer | Latvia
Work arrangement
Pełny wymiar czasu pracy
City
Ryga
Country
Łotwa
Department
Consulting
Team
Engineering, AI & Data
Area of interest
Engineering, IT - Development
Way of work
Hybrydowy

Description & Requirements

Who we are looking for
🎯We are looking for a Data Engineer with Databricks expertise to join our growing AI & Data team in Latvia. This role is ideal for someone with a strong foundation in data engineering who wants to deepen their skills in Databricks, cloud platforms, and modern data architectures while working on impactful projects across industries.


💼 What we’re looking for
  • 2–3 years of experience in data engineering or related field.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Hands-on experience with Databricks (PySpark, Delta Lake, SQL).
  • Proficiency in Python and/or SQL for data manipulation.
  • Familiarity with cloud platforms (Azure, AWS, or GCP).
  • Strong problem-solving skills and eagerness to learn new technologies.
  • Fluency in English are required
Your future role
  • Build and optimize data pipelines and ETL processes using Databricks.
  • Collaborate with data scientists and analysts to design scalable data solutions.
  • Ensure data quality, consistency, and performance across multiple sources.
  • Work with cloud environments (Azure, AWS, or GCP) to deploy and manage data solutions.
  • Participate in requirement gathering sessions with clients to understand business needs and translate them into technical solutions.
  • Develop and maintain data models, documentation, and best practices for data management.
  • Troubleshoot data-related issues and provide support for production systems.
  • Contribute to proof-of-concepts and pilots for new technologies within the data landscape.
  • Collaborate with cross-functional teams in a consulting environment to deliver end-to-end data solutions.
What we offer
  • Competitive compensation and benefits package.
  • A role in an international AI & Data practice with exposure to diverse projects.
  • Career growth and continuous learning opportunities with certifications and training.
  • Remote working model.
  • Collaborative, innovative, and supportive team culture.
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