Data Engineer, Data Scientist

Summary

Join our team as a mid-level Data Engineer with a passion for Data Science! You will design and maintain scalable data pipelines, support the development of intelligent systems using AI/ML and NLP, and contribute to enterprise-grade cloud solutions. This role offers experience with real-world business cases and opportunities to grow your expertise at the intersection of data engineering and AI. You will work with PySpark, SQL, Python, and Azure Databricks, focusing on data modeling, machine learning model development, and collaboration with data scientists. The position requires experience in data engineering and software development, along with a strong understanding of AI/ML concepts. Competitive compensation and growth opportunities are provided.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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