We are looking for a mid-level Data Engineer with a keen interest in the Data Science field to join our team. The ideal candidate will have a background in data engineering and software development, complemented by a strong curiosity for AI/ML, natural language processing (NLP), and agent-based systems.

In this role, you will focus on designing and maintaining scalable data pipelines and supporting the development of intelligent systems. You will be dedicated to a team working on AI agents and the infrastructure that powers them, contributing to the development of enterprise-grade cloud solutions using the latest AI technologies.

This is an opportunity to gain experience with real-world business cases, actively build the company's knowledge base in the field, and grow your expertise at the intersection of data engineering and artificial intelligence.

Challenges you'll tackle:

• Develop and maintain ETL/ELT pipelines using PySpark in Azure Databricks, with SQL for data transformations and Python/Pandas for data manipulation, where applicable
• Design and implement data models for structured and unstructured data
• Work on NLP, AI/ML, and agentic networks to build intelligent solutions
• Develop and optimise machine learning models and integrate them into data pipelines
• Collaborate with Data Scientists and Engineers to implement data-driven solutions
• Work with Git and version control to manage code and data pipelines effectively
• Research and experiment with new AI/ML techniques and apply them to real-world business problems
  
  
  

Requirements

Skills for success:

• 2+ years of experience in Data Engineering and/or Data Science
• Strong programming skills in Python
• Basic proficiency in PySpark and SQL
• Basic proficiency with Azure Databricks and cloud-based data engineering
• Conceptual understanding of NLP, AI/ML, and agentic networks
• Experience in data and process modeling for large-scale systems
• Understanding Git and software engineering best practices
• Basic proficiency with data wrangling, transformation, and feature engineering
• Problem-solving skills and the ability to work independently
  
  
  

Nice to Have:

• Experience with MLOps and model deployment in production environments
• Experience in implementing CI/CD pipelines for automated data workflows and model deployment, dockerization technologies
• Basic proficiency in Huggingface, Langchain and generative AI technologies for agentic networks
• Understanding of data streaming (e.g., Kafka, Azure Event Hubs)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  
  
  

Benefits

Competitive Compensation & Growth Opportunities

• Dedicated training budget for conferences, online courses, and books to support continuous learning
• Access to English and Lithuanian language lessons
• Professional development through workshops, coaching sessions, and tech events
  
  
  

Work-Life Balance & Flexibility

• Flexible working hours to suit your schedule
• Unlimited work-from-home option for greater autonomy
• A 300€ Personal Perks Pack to support your work-life balance needs
  
  
  

Community & Team Connection

• Employee referral program with rewards up to 2000€ net
• Clients & External Ambassadors with rewards up to 5000€ net
• Social events, including Summer/Winter parties and a Dev Day celebration
• Team-building activities and annual live meet-ups with clients for enhanced collaboration
  
  
  

For this position, we offer 2975 € - 3636 €/month gross salary.

The final offer will depend on your experience and competencies.