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Senior Data Engineer - (Azure/Databricks)

Axis Capital
London
1 month ago
Applications closed

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Senior Data Engineer

Senior Data Engineer

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Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Responsibilities

:
Design and implement data solutions using Azure services, including Azure Databricks, ADF, and Data Lake Storage. Develop and maintain ETL/ELT pipelines to process structured and unstructured data from multiple sources. - Automate loads using Databricks workflows and Jobs Develop, test and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. Troubleshoot and resolve data pipeline issues while ensuring data integrity and quality. Implement and enforce data security best practices, including role-based access control (RBAC), encryption, andpliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and rmend improvements to existing architectures. Assist data analysts with technical input.
You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

About You:

We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

Required Skills & Experience:
5 plus years Azure & Data Engineering Expertise: Proven experience in designing and managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust dataernance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best practices for scalable data processing is essential. Additional Requirements: Strong problem-solving skills, ability to work in agile environments, and effective collaboration with cross-functional teams. Experience with implementing a Data Lakehouse solution with Azure Databricks, data modeling, warehousing, and real-time streaming. Knowledge of developing and processing full and incremental loads. Experience of automated loads using Databricks workflows and Jobs Expertise in Azure Databricks, including Delta Lake, Spark optimizations, and MLflow. Strong experience with Azure Data Factory (ADF) for data integration and orchestration. Hands-on experience with Azure DevOps, including pipelines, repos, and infrastructure as code (IaC). Solid understanding of platform administration, including monitoring, logging, and cost management. Knowledge of data security,pliance, andernance in Azure, including Azure Active Directory (AAD), RBAC, and encryption. Experience working with big data technologies (Spark, Python, Scala, SQL). Strong problem-solving and troubleshooting skills. Excellentmunication skills with the ability to collaborate with cross-functional teams to understand requirements, data solutions, data models and mapping documents.Preferred Qualifications:Azure certifications (, Azure Data Engineer Associate, Azure Solutions Architect). Experience with Terraform, ARM templates, or Bicep for infrastructure automation. Experience integrating Azure Data Services with Power BI and AI/ML workflows.Role Factors:

The position is full-time with remote work options, requiring in-office presence three days per week

What we offer:

You will be eligible for aprehensive andpetitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more. Job ID REQ05851

National AI Awards 2025

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