AWS -Senior 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:  AWS Senior Data Engineer

BU/Segment: Analytics / Data Management / Insurance

Location:   London, United Kingdom 

Employment Type: Permanent

EXL is seeking a Senior Data Engineer with strong AWS expertise to design, build, and optimise scalable data platforms. This role is critical to shaping modern data architecture, enabling advanced analytics, and driving data-led decision-making across the organisation.

You will work on complex, enterprise-scale data solutions, building robust pipelines and platforms while ensuring strong data management practices across the data lifecycle, including data quality, governance, and integrity. The role requires a combination of hands-on engineering capability, architectural thinking, and the ability to work closely with stakeholders across data, analytics, and business teams.

Experience within the Insurance domain is preferred, particularly working with large, complex datasets and industry-specific data models.

This is a high-impact opportunity within a fast-growing Data & AI environment, suited to someone who thrives in building scalable, production-grade data solutions.

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

• Design, build, and maintain scalable, reliable data pipelines using AWS services 
• Develop and optimise ETL/ELT processes for large-scale data ingestion and transformation 
• Work across structured and unstructured datasets, ensuring data quality, consistency, and integrity 
• Design and implement data lakes and data warehouse solutions on AWS 
• Build and maintain data marts using dimensional modelling (star and snowflake schemas) 
• Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into data solutions 
• Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency 
• Implement Infrastructure as Code (IaC) using Terraform 
• Integrate CI/CD pipelines and support DevOps practices using Azure DevOps 
• Ensure adherence to data governance, security, and compliance standards 
• Produce clear documentation of data architecture, pipelines, and standards
• 10+ years’ experience in Data Engineering or related roles, with at least 5+ years working extensively in AWS 
• Strong hands-on experience with AWS services including:
  S3, Lambda, Glue, Redshift, Athena, Step Functions, EventBridge, SQS, SNS, IAM, CloudWatch, VPC 
• Proven experience designing and implementing data lake and data warehouse architectures 
• Strong expertise in SQL, Python, and Spark for data processing and transformation  
• Solid experience building data marts and applying dimensional modelling techniques 
• Experience implementing IaC using Terraform 
• Exposure to DevOps practices and tooling, particularly Azure DevOps 
• Experience with version control systems such as Git 
• Strong problem-solving capability with attention to detail
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Data Engineer, or DevOps Engineer 
• Experience working in a consulting or client-facing environment 
• Exposure to large-scale, enterprise data platforms

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

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.