AI Senior Data Engineer

The AI Senior Data Engineer is a key technical driver in our data engineering practice. In this role, you will be responsible for building and optimizing the high-scale ETL/ELT pipelines that power our Generative AI and Machine Learning models. You will focus on the "Data for AI" lifecycle—ensuring that feature engineering, data quality, and model-ready datasets are delivered with high performance and reliability.

Requirements

• Technical Mastery: 6–8 years of experience in data engineering with deep proficiency in Python and SQL.
  

• Big Data Stack: Hands-on expertise with Apache Spark/PySpark and the broader Hadoop ecosystem.
  

• Cloud Platforms: Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their native data tools.
  

• AI/ML Familiarity: Practical experience in feature engineering and preparing datasets for TensorFlow or PyTorch.
  

• Modern Data Stack: Expertise in Snowflake, BigQuery, or Redshift and modern transformation tools like dbt.
  

• DevOps/MLOps: Proficiency with Docker, Kubernetes, and CI/CD for data pipelines.
  

• Compliance & Security: Solid understanding of GDPR basics, data encryption at rest/transit, and access control (RBAC).
  

• Communication: Professional English (C1) for collaboration in global enterprise environments.
  

Benefits

• Remote work model

• Professional training programs

• Work with a team that is recognized for its excellence. We have been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We have also received the Great Place To Work® certification for seven years in a row