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.Â
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:Â Databricks Data Engineer
BU/Segment:Â Analytics / Data Management / Insurance Domain
Location: Â Â London, United Kingdom (Hybrid, 3-4 days in the office)
Employment Type: Permanent to start ASAP
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.
You’ll 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 experience, coupled with solid Insurance domain knowledge.
As part of this role, you’ll have the opportunity to work on high-impact Insurance data transformation programmes, collaborating with experienced data professionals in a forward-thinking, innovative environment. You’ll gain exposure to cutting-edge Azure and Databricks technologies.
As part of your duties, you will be responsible for:
Qualifications and experience we consider to be essential for the role:
Insurance industry experience is essential, with a strong understanding of policy, claims, and regulatory data.
Minimum of 5 years’ management experience required – leading technical delivery or overseeing project teams within data engineering or integration environments.
8–10 years’ experience in data engineering and integration, ideally in enterprise-scale environments.
Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake.
Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design, and data pipeline orchestration.
Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts.
Experience working with large, complex datasets and distributed computing environments.
Proficiency in SQL, version control (e.g. Git), and CI/CD pipelines.
Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.).
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Preferred Skills & Experience:
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Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools.
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As part of a leading global analytics and AI solutions company, you can look forward to:
To be considered for this role, you must already be eligible to work in the United Kingdom.
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