Senior AI & Data Cloud Platform Engineer (B-1222)

Nálunk ezekkel fogsz foglalkozni:

• Build and maintain Azure Databricks solutions
• Develop scalable ETL/ELT pipelines
• Implement and optimize Lakehouse solutions
• Develop Spark applications
• Develop reusable data and AI platform components
• Build and maintain MLOps pipelines using Azure Databricks
• Automate platform, data and ML deployments
• Build CI/CD pipelines for data and machine learning workloads
• Collaborate closely with Data Scientists to transition models from experimentation into production

Te vagy az emberünk, ha:

• 5+ years of experience in Data Engineering, ML Engineering, Cloud Platform Engineering, or a related field.
• 3+ years of experience designing and developing enterprise-scale cloud data platforms, preferably on Azure, AWS, or GCP.
• 5+ years of hands-on experience with Python and strong SQL skills.
• Strong experience with Databricks, Apache Spark, and distributed/parallel data processing.
• Proven experience designing and developing ETL/ELT pipelines and applying data modeling and data warehousing concepts.
• Experience with modern Data Lakehouse architectures.
• Proven experience with CI/CD and version control systems such as Git.
• Experience with Infrastructure as Code, preferably Terraform.
• Strong analytical and problem-solving skills, with the ability to work independently and take ownership.
• Excellent professional communication skills in English.

Előnyt jelent:

• Experience with ML lifecycle management, MLOps, model deployment, and productionization.
• Experience with Kubernetes and containerized workloads.
• Experience with Large Language Models (LLMs) in production environments.
• Experience with orchestration and modern data engineering technologies such as Airflow or Apache Iceberg.
• Experience with analytical data platforms, OLAP systems, and data warehousing technologies.
• Experience with NoSQL databases and non-relational data modeling.
• Familiarity with enterprise data governance, metadata management, data lineage, and data quality practices.
• Experience designing and developing APIs and service integrations.
• Relevant Azure, AWS, or GCP certification(s).

Van még érvünk:

• You’ll have the opportunity to take on meaningful responsibilities and make a real impact.
• Our flexible working model allows you to work from home most of the month, helping you balance work and everyday life.
• We look forward to seeing you in the office on team days, where you’ll enjoy a modern, comfortable and inspiring working environment.
• We offer an attractive benefits package, including a cafeteria package, , a company mobile phone and employee discounts.
• Your health and well-being matter to us. That’s why we provide health insurance to all our employees, which can also be extended to cover family members.
• We’re more than just a workplace – we’re a community. You’ll have plenty of opportunities to take part in community and CSR initiatives, as well as company events throughout the year.