Senior Azure Databricks Engineer

Bengaluru, India

Kongsberg Digital

KONGSBERG is an international, knowledge-based group that supplies high-technology systems and solutions to customers engaged in the oil and gas industry, the merchant marine, and the defence and aerospace industries.

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We are looking for a Senior Azure Databricks Engineer to support and maintain our internal BI platform, used by our 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.

Key Responsibilities:

• 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.

What you need to succeed:

• 7+ years of experience with Business Data Analytics Platforms.

• Strong hands-on experience with Azure Databricks, PySpark, and (SparkSQL or SQL)

• 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.

• Excellent problem-solving, collaboration, and communication skills.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Azure CI/CD Data Analytics Databricks Data governance DataOps Data pipelines Data quality Data warehouse DevOps ETL Finance Pipelines PySpark Python Security Shell scripting SQL

Region: Asia/Pacific
Country: India

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