ID: 13225 Location: Budapest Task: Data Engineer

We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.

Tasks & Responsibilities

Lead technical decisions for enterprise data architecture using Databricks
Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage
Design and implement data solutions in Microsoft Azure, based on project needs
Build and maintain ETL processes and data models for analytical pipelines, especially in Finance
Establish and uphold best practices for software development, like version control, testing, and CI
Support pre-sales activities, including RFPs, proposals, and client communications
Guide discussions on cloud data warehousing and machine learning platforms
Provide technical support for vendor and third-party engagements
Offer ongoing support for business and technology teams on platform strategy and quality assurance

Required Qualifications

Bachelor’s degree in Computer Science, IT, or a related field
Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)
Experience as a Data Architect/Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design
Strong knowledge of Databricks, Data Lakes and Spark
Strong experience with Azure Platform Services (Identities, Network, Storage)
Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL
Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services
Experience with Azure DevOps especially Azure Pipelines
Proficiency in Python, PySpark, SQL
Familiarity with DataOps