Senior Data Engineer (Databricks)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for global enterprises and pioneering startups. As a Senior Data Engineer, you will join a team of experts to design and develop advanced data platforms, working on challenging international projects across various industries.

Key responsibilities

• Design and optimize scalable data processing pipelines for streaming and batch workloads using Databricks, Apache Airflow, and Dagster.
• Architect and implement end-to-end data platforms, ensuring high availability, performance, and reliability.
• Lead the development of CI/CD and MLOps processes to automate deployments and model lifecycle management.
• Collaborate with Data Science teams on Machine Learning projects, including feature engineering and predictive model deployment.
• Ensure data security, compliance, and governance best practices are followed across all data pipelines.

Requirements

• At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems.
• Strong programming skills in Python and SQL, including performance tuning and query optimization.
• Deep expertise in Big Data technologies, including Databricks, Spark, Kafka, and modern orchestration tools.
• Experience implementing and deploying solutions in cloud environments, preferably Azure.
• Master’s or Ph.D. in Computer Science, Big Data, Mathematics, Physics, or a related field.

What we offer

• Work in a supportive team of passionate enthusiasts of AI and Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Accelerate your professional growth through career paths, knowledge-sharing, and sponsored training or conferences.
• Access medical and sports packages, well-being support services, and full work equipment for optimal productivity.