GenAI Data Engineer (12-month contract + extension)

Strategic Staffing Solutions's customer, a multinational energy provider, is seeking a GenAI Data Engineer to support our team in operationalizing Proof of Concept (PoC) tools and advancing data management and AI initiatives. This role will focus on technical data extraction, glossary creation, workflow automation, and integration of AI solutions with platforms such as SAP and Maximo.

What you will do:

• Support Proof of Concept (PoC) and production projects focused on data management and AI.
• Extract, prepare and process technical data using Databricks, Power Platform and Python.
• Automate manual data processes, manage CSV files and maintain input/output folders for glossary and AI tools.
• Set up technical environments, install software and manage dependencies.
• Create and validate data glossaries by running scripts, processing table data and reviewing attribute definitions.
• Design and improve GenAI workflows for data cleansing, mapping and enrichment, including prompt engineering and model tuning.
• Build and manage data pipelines for LLM training and deployment.
• Integrate AI solutions with enterprise platforms such as SAP and Maximo.
• Support data governance, quality analysis and process documentation.
• Work closely with business, technical and client teams to define requirements and deliver scalable solutions.

What you will need:

• Bachelor's degree in Data Science, Computer Science or a related technical field.
• At least 2 years of experience with generative AI applications.
• Strong Python skills and knowledge of TensorFlow, PyTorch and NLP frameworks.
• Understanding of ETL processes, data profiling, cleansing and data governance.
• Experience with Databricks, PowerShell, VS Code and enterprise platforms such as SAP or Maximo.
• Ability to set up technical environments, install software and manage dependencies.
• Good understanding of prompt engineering, model tuning and AI workflow development.
• Strong analytical and problem-solving skills, business awareness and good communication skills.
• Ability to work independently, plan tasks and communicate effectively with different stakeholders.

Nice to have:

• Experience with data lakes and SQL databases.
• Knowledge of asset management systems and industrial equipment.

What you will get:

• Pay rate: 50-60 EUR/hour
• 12-month contract on B2B or FTE contract basis with further extension
• Fully remote work mode inside Lithuania
• Flexible work hours (start and finish as early as you prefer)