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- Tasks: Design and optimise scalable data platforms using AWS services.
- Company: Join EXL, a global leader in data and AI solutions.
- Benefits: Competitive salary, private healthcare, and professional development opportunities.
- Other info: Flexible hybrid working model and commitment to diversity.
- Why this job: Make an impact in a fast-growing Data & AI environment.
- Qualifications: 10+ years in Data Engineering with strong AWS expertise.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
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.
AWS -Senior Data Engineer in London employer: exl
Contact Detail:
exl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS -Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at EXL. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your hands-on experience with AWS and data engineering. Share specific examples of projects you've worked on that relate to the role – it’ll make you stand out!
✨Prepare for Technical Challenges
Brush up on your SQL, Python, and Spark skills because you might face some technical questions or challenges during the interview. Practising common data engineering problems can give you the edge you need to impress.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the EXL team.
We think you need these skills to ace AWS -Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Senior Data Engineer role. Highlight your experience with AWS services and data engineering projects that align with what we're looking for. We want to see how your skills fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you a perfect fit for EXL. Don't forget to mention any relevant experience in the insurance domain!
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them! Whether it's building data pipelines or optimising ETL processes, we love seeing real examples of your work. It helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you're serious about joining our team at EXL!
How to prepare for a job interview at exl
✨Know Your AWS Inside Out
Make sure you brush up on your AWS services, especially those mentioned in the job description like S3, Lambda, and Redshift. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of scalable data solutions.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with ETL/ELT processes and data pipeline optimisation. Have specific examples ready that demonstrate your ability to handle large datasets and ensure data quality, as this is crucial for the role.
✨Understand the Business Context
Familiarise yourself with the insurance industry and how data plays a role in decision-making within it. Being able to connect your technical skills to business outcomes will impress the interviewers and show that you can collaborate effectively with stakeholders.
✨Be Ready for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice explaining your thought process when troubleshooting data pipelines or implementing Infrastructure as Code. This will highlight your problem-solving capabilities and attention to detail, which are key for this position.