Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)
Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)

Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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 insurance and reinsurance with a strong ethical culture.
  • Benefits: Enjoy remote work options, competitive pay, health plans, wellness programs, and tuition reimbursement.
  • Why this job: Be part of a dynamic team that values inclusivity and empowers you to bring your whole self to work.
  • Qualifications: 5+ years in Azure Data Engineering, with expertise in Databricks and data governance.
  • Other info: This full-time role requires in-office presence three days a week.

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. This means that we bring our whole selves to work.

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.

You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

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.

Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London) employer: Golden Bees

At AXIS Capital, we pride ourselves on fostering an inclusive and dynamic work environment that empowers our employees to thrive. As a Senior Data Engineer in London, you will benefit from a competitive salary and a comprehensive benefits package, including health and wellness programmes, retirement plans, and tuition reimbursement. Our commitment to employee growth and development, combined with our entrepreneurial culture, makes AXIS an exceptional place to build a meaningful and rewarding career.
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Contact Detail:

Golden Bees Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)

Tip Number 1

Familiarise yourself with Azure and Databricks by working on personal projects or contributing to open-source projects. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.

Tip Number 2

Network with professionals in the data engineering field, especially those who work with Azure and Databricks. Attend industry meetups, webinars, or online forums to build connections and gain insights into the latest trends and best practices.

Tip Number 3

Stay updated on the latest Azure features and Databricks enhancements. Follow relevant blogs, subscribe to newsletters, and participate in online courses to ensure you can speak knowledgeably about recent developments during your interview.

Tip Number 4

Prepare for technical interviews by practising common data engineering problems and scenarios related to Azure and Databricks. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills and get comfortable with coding challenges.

We think you need these skills to ace Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)

Azure Data Engineering
Databricks Proficiency
ETL/ELT Pipeline Development
Data Lakehouse Architecture
Azure Data Factory (ADF)
CI/CD Pipeline Implementation
Data Security Best Practices
Unity Catalog Configuration
Performance Tuning and Optimization
Big Data Technologies (Spark, Python, Scala, SQL)
Monitoring and Logging
Collaboration with Cross-Functional Teams
Problem-Solving Skills
Azure DevOps Experience
Data Governance and Compliance Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Azure and Databricks. Use specific examples of projects you've worked on that demonstrate your skills in data engineering and cloud solutions.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at AXIS Capital. Mention how your background aligns with their values of client service and ethical culture, and provide examples of how you can contribute to their data and analytics goals.

Showcase Technical Skills: Clearly outline your technical skills related to Azure services, Databricks, and data pipeline management. Include any relevant certifications or training that support your expertise in these areas.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise your experience collaborating with data scientists, analysts, and business stakeholders. Provide examples of successful projects where teamwork was key to achieving results.

How to prepare for a job interview at Golden Bees

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 pipeline issues in the past. Discuss your approach to troubleshooting and ensuring data integrity, as this is crucial for the role and will show your analytical thinking.

Familiarise Yourself with Unity Catalog

Since the role requires knowledge of Unity Catalog for data governance, brush up on its features and benefits. Be ready to explain how you've used it or how you would implement it in a Databricks environment to enhance data security and access control.

Engage with Cross-Functional Teams

Highlight your experience collaborating with data scientists, analysts, and business stakeholders. Prepare to discuss how you’ve effectively communicated technical concepts to non-technical team members, as this will showcase your teamwork and communication skills.

Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)
Golden Bees
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  • Senior Data Engineer - (Azure/Databricks) | London, UK (Basé à London)

    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-07-19

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    Golden Bees

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