Databricks Data Engineer

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations.

EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. 

Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.

Role Title:  Databricks Data Engineer

BU/Segment: Analytics / Data Management / Insurance Domain

Location:   London, United Kingdom 

Employment Type: Permanent

Summary of the role:

We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Insurance portfolio.

We are looking for a highly skilled Azure Databricks Data Engineer to design, develop, and deliver cloud-based data integration and analytics solutions.

You will work across data engineering, modelling, and transformation initiatives—building scalable pipelines, optimising performance, and ensuring best practices in data quality and governance. This is a hands-on technical role requiring strong Azure and Databricks expertise, with experience working in complex, enterprise-scale data environments.

While prior exposure to the Insurance domain is advantageous, this role primarily focuses on strong technical delivery and data engineering capability. You will collaborate with experienced data professionals in a forward-thinking, innovative environment and contribute to high-impact data transformation programmes.

As part of your duties, you will be responsible for:

• Design, build, and deploy scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Database
• Optimise Databricks environments for performance, cost, and security
• Develop and maintain data integration, ETL/ELT processes, and data quality frameworks
• Translate business requirements into robust data models, ensuring consistency and accuracy across data layers
• Work closely with stakeholders to deliver effective data and analytics solutions
• Produce technical documentation, including data flow diagrams, architecture designs, and test plans
• Stay current with emerging data engineering trends and Azure ecosystem technologies to drive continuous improvement

Qualifications and experience we consider to be essential for the role:

• 8–10 years’ experience in data engineering and integration, ideally in enterprise-scale environments
• Minimum of 5 years’ management or technical leadership experience, leading delivery or overseeing project teams
• Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake
• Strong hands-on experience with Spark (PySpark / SparkSQL) and data pipeline orchestration
• Solid data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts
• Experience working with large, complex datasets in distributed computing environments
• Proficiency in SQL, version control tools (e.g. Git), and CI/CD pipelines
• Experience working in Agile and DevOps environments (Azure DevOps, JIRA, etc.)
• Advantageous Skills & Experience
• Experience working within the Insurance domain, including exposure to policy, claims, or regulatory data
• Knowledge of Enterprise Data Management (EDM) practices, data governance, metadata management, and lineage tools
• Exposure to multi-cloud environments (AWS or GCP)
• Understanding of modern data architecture approaches, including Dimensional, ODS, and Data Vault, as well as real-time cloud data capabilities

Preferred Skills & Experience:

• Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools.
• Exposure to multi-cloud environments (AWS or GCP).
• Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real-time cloud data capabilities.

As part of a leading global analytics and digital solutions company, you can look forward to:

• A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
• EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
• At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
• As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
• EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
• At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.