At a Glance
- Tasks: Design and implement scalable data solutions on Azure, ensuring efficient data processing and storage.
- Company: Join AXIS Capital, a leading global provider of specialty lines insurance and reinsurance.
- Benefits: Enjoy remote work options, competitive pay, health plans, tuition reimbursement, and more perks.
- Why this job: Be part of a dynamic team that values inclusivity and innovation in the data engineering field.
- Qualifications: 5+ years of Azure and Data Engineering experience, with strong skills in Databricks and data governance.
- Other info: This full-time role requires in-office presence three days a week, perfect for collaborative work.
The predicted salary is between 43200 - 72000 £ per year.
This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves.
All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.
The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. The Senior Azure Data Engineer will support these goals by designing, implementing, and managing scalable data solutions on the Azure platform, ensuring efficient data processing, storage, and retrieval. You will play a key role in modernizing our data architecture, ensuring efficient data integration, and enabling advanced analytics to support critical business decisions. This role will enhance the department's ability to deliver high-quality analytics and maintain robust data infrastructure.
As a Senior Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data storage and processing solutions on the Azure platform. You will work with modern data warehouse (MDW) technologies, big data, and Lakehouse architectures to ensure our data solutions are secure, efficient, and optimized.
- 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, and compliance 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 recommend improvements to existing architectures.
- Assist data analysts with technical input.
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 data governance, 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.
- 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, compliance, and governance 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.
- Excellent communication skills with the ability to collaborate with cross-functional teams to understand requirements, data solutions, data models and mapping documents.
Preferred Qualifications:
- Azure certifications (e.g., 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.
The position is full-time with remote work options, requiring in-office presence three days per week.
You will be eligible for a comprehensive and competitive 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.
We are shaping the direction of Insurance and Reinsurance during a critical and exciting time for the industry. Whether you are a student approaching graduation or a seasoned professional looking for a new environment, AXIS has the right challenges and career opportunities for you. We offer a comprehensive and competitive benefits package which includes medical plans for employees and their families, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.
Senior Data Engineer - (Azure/Databricks) employer: AXIS (AXIS Capital)
Contact Detail:
AXIS (AXIS Capital) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - (Azure/Databricks)
✨Tip Number 1
Familiarise yourself with Azure Databricks and its features, especially Unity Catalog. Being able to discuss your experience with data governance and access control in a Databricks environment will set you apart during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled data pipeline issues in the past. Be ready to discuss specific challenges and the solutions you implemented to ensure data integrity and quality.
✨Tip Number 3
Stay updated on the latest Azure innovations and be prepared to suggest improvements to existing architectures. This demonstrates your proactive approach and commitment to optimising data solutions.
✨Tip Number 4
Network with professionals in the data engineering field, particularly those with experience in Azure. Engaging in relevant communities can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Engineer - (Azure/Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure and Databricks. Focus on specific projects where you've designed or managed data solutions, and quantify your achievements to demonstrate impact.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities listed in the job description, particularly your experience with ETL/ELT pipelines and data security best practices.
Showcase Technical Skills: Clearly outline your technical skills related to Azure services, Databricks, and data engineering. Include any relevant certifications and specific tools you’ve used, such as Azure DevOps and Data Factory, to strengthen your application.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, provide examples of past collaborations. Discuss how you’ve effectively communicated with data scientists and analysts to deliver high-quality data solutions.
How to prepare for a job interview at AXIS (AXIS Capital)
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure services, especially Azure Databricks and Data Factory. Be prepared to discuss specific projects where you've designed and implemented data solutions, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Discuss your approach to troubleshooting data pipeline issues and ensuring data integrity, as this is crucial for the role.
✨Familiarise Yourself with Unity Catalog
Since knowledge of Unity Catalog is essential for this position, ensure you understand its setup and configuration. Be ready to explain how you've used it for data governance and access control in previous roles.
✨Communicate Effectively
Strong communication skills are vital for collaborating with cross-functional teams. Practice explaining technical concepts in a clear and concise manner, as you'll need to convey complex ideas to non-technical stakeholders.