Senior Data Engineer (Databricks)
London, England, United Kingdom
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
BU/Segment: Analytics / Data Management / Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP
Read the full posting- Employment
Permanent — employment source
Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP Summary of the role:
Read the full posting
Tools in this posting
- SQL
- AWS
- Azure
- Databricks
- Spark
- Google Cloud (GCP)
- PySpark
Source — Tool mentions in context
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.
- 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.).
- 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.
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.
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.
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:
- Create technical documentation including data flow diagrams, architecture design, and test plans. - Stay current with emerging data engineering 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. - 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.
- Proficiency in SQL, version control (e.g. Git), and CI/CD pipelines. - Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience:
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
- 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.
- 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.
Job description
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 (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:
- 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 data models, ensuring consistency and accuracy across data layers.
- Work with stakeholders to deliver effective data solutions, analytics.
- Create technical documentation including data flow diagrams, architecture design, and test plans.
- Stay current with emerging data engineering and Azure ecosystem technologies to drive continuous improvement.
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.).
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 AI 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, England, United Kingdom
BU/Segment: Analytics / Data Management / Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP
More source context
- 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.
- Work authorization
- 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.
- Status in our records
- Active
- First seen by us
- Aug 25, 2026
- Recorded sightings
- 134
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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