• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.
  
  

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.
  
  

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,
  
  

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and
  
  

• Open Communication: Experience transparency and value your input in our culture.
  
  

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.
  
  

• Connect and Celebrate: Participate in a variety of events including leisure, summer,
  
  

• 7+ years of experience in data engineering roles, with at least 2 years in a leadership role and projects involving Databricks and AWS/Azure.
• Proven expertise in data pipelines, feature engineering, and dataset preparation for machine learning, specifically LLMs.
• Experience building enterprise-grade applications with GenAI or AI/ML integrations.
  
  

• Expertise in Databricks, Apache Spark, and Delta Lake.
• Strong programming skills in Python and SQL; knowledge of libraries like pandas, NumPy, or PyTorch is a plus
• Understanding of state management libraries like Redux, Recoil, or Zustand.Cypress), and version control (Git).
• Understanding of web security principles and compliance requirements for enterprise applications.
  
  

• Exceptional problem-solving and decision-making abilities.
• Excellent communication and leadership skills, with the ability to guide technical discussions and mentor team members.
• Strong focus on delivering quality
  
  

• Data Pipeline Development:
• Design, implement, and optimize end-to-end data pipelines using Databricks, AWS, Azure, and related technologies.
• Build workflows to handle large-scale data ingestion, transformation, and storage.
• Data Preparation for LLMs:
• Preprocess, clean, and structure diverse datasets (text, structured, and unstructured) for LLM training and fine-tuning.
• Implement feature engineering, tokenization, and vectorization techniques to support NLP models.
• Performance Optimization:
• Use Databricks features, including Delta Lake and MLflow, to streamline data workflows.
• Optimize data infrastructure for high availability, scalability, and cost-efficiency.
• Collaboration with Teams:
• Work closely with data scientists, ML engineers, and other stakeholders to understand data requirements for LLM technology requirements.
• Ensure alignment between engineering pipelines and machine learning goals.
• Data Quality & Governance:
• Implement processes to ensure data quality, consistency, and compliance with governance policies.
• Monitor and maintain data integrity throughout the pipeline lifecycle.
• Emerging Technology Adoption:
• Stay updated on advancements in Databricks, generative AI, and LLM technologies.
• Contribute to the adoption of innovative tools and practices to improve workflows.
  
  

• Germany
• Spain
• Slovakia
• Romania
• Philippines
• Singapore
• USA
  
  

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified

Please refer to job description.