Senior Data Engineer

Our client is a renowned software and consulting provider with 29 years of market presence. They are a team of passionate software enthusiasts dedicated to building cutting-edge solutions in IoT, Digital Transformation, MR/VR/AR simulation, and AI/ML-driven technologies. What unites them is their commitment to knowledge leadership, a strong focus on R&D, and a mindset that embraces even the toughest technical challenges.

Position Overview:

Our team at CADABRA is looking for a Senior Azure Databricks Engineer to support and maintain their internal BI platform, used by the Finance and Business Operations teams. This is a hands-on technical role focused on backend data operations — including data ingestion, transformation, and CI/CD support, within a cloud-based data warehouse environment.

Primary Duties:

• Ensure stable operation of the internal BI platform used by Finance and Business Operations
• Develop, maintain, and troubleshoot data pipelines for ingestion, transformation, and load using Azure Databricks (PySpark, SQL)
• Support and optimize CI/CD pipelines (Azure DevOps) for smooth deployments and minimal downtime
• Collaborate with BI front-end analysts, IT teams, and business stakeholders to ensure alignment of data needs and delivery
• Monitor and improve system performance, resolve incidents, and ensure data quality and consistency
• Maintain data architecture standards and support platform scalability and compliance
• Integrate data from systems like D365 Finance & Operations and other business applications
• Work with Azure services such as Data Lake, Key Vaults, Service Principals, and SQL Database
• Maintain proper documentation of processes, configurations, and procedures
• Participate in improvement initiatives to enhance platform efficiency and usability

Your Expertise:

• 7+ years of experience with Business Data Analytics Platforms
• Strong hands-on experience with Azure Databricks, PySpark, and SparkSQL
• Solid understanding of CI/CD pipelines (preferably with Azure DevOps) and troubleshooting deployment issues
• Proficiency in Python and working knowledge of Shell scripting
• Experience with data ingestion, ETL processes, and managing large-scale data pipelines
• Experience with Azure services such as Azure Key Vaults, Azure SQL, Azure Data Lake, and Service Principals
• Understanding data governance, security standards, and handling sensitive data
• Ability to work closely with both IT and finance/business stakeholders
• Good knowledge of data integration from sources like D365 F&O, Unit4, Azure Portal
• Strong analytical, problem-solving, and communication skills
• Fluency in English, both spoken and written

Reasons to Join:

• Working on innovative and unique IT projects
• Friendly and collaborative working environment
• Attractive remuneration package
• Work-life balance: flexible working hours, 20 to 24 days paid vacation depending on years with the company
• All kinds of office and additional benefit perks (sports card, additional healthcare package subsidizing, special discounts, and others)

(License No. 2709/ 17.01.2019)