At a Glance
- Tasks: Design and optimise scalable data platforms using AWS for advanced analytics.
- Company: Join EXL, a global leader in data and AI solutions.
- Benefits: Competitive salary, private healthcare, and flexible hybrid working model.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in a fast-growing Data & AI environment.
- Qualifications: 10+ years in Data Engineering with strong AWS expertise required.
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.
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
Qualifications and experience we consider to be essential for the role:
- 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.
Senior Data Engineer employer: exl
EXL is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to work on cutting-edge data solutions in a dynamic environment. With a strong commitment to professional development, competitive benefits including private healthcare and a flexible hybrid working model, EXL empowers its team members to thrive while contributing to meaningful projects that drive impactful change across various industries. Located in London, employees benefit from a vibrant city atmosphere and access to a diverse range of learning initiatives to enhance their skills.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 projects you've worked on that demonstrate your expertise!
✨Tailor Your Approach
Before any interview, do your homework on EXL and its core values. Show how your experience aligns with their mission of innovation and collaboration. This will help you stand out as a candidate who truly gets what they're about.
✨Apply Through Our Website
Don't forget to apply directly through our website! It not only shows your interest but also ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your AWS expertise and relevant experience in data engineering, especially with large datasets. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at EXL. Be sure to mention any experience in the Insurance domain if you have it.
Showcase Your Projects:If you've worked on any impressive data projects, don’t hold back! Include links or descriptions of your work that demonstrate your hands-on experience with AWS services and data pipelines. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at exl
✨Know Your AWS Inside Out
Since the role requires strong AWS expertise, make sure you brush up on all the relevant services like S3, Lambda, and Redshift. Be prepared to discuss how you've used these tools in past projects, and think of specific examples where you designed or optimised data pipelines.
✨Showcase Your Data Architecture Skills
This position is all about shaping modern data architecture. Prepare to talk about your experience with data lakes and warehouses, and be ready to explain your approach to ensuring data quality and integrity. Use diagrams or examples from your previous work to illustrate your points.
✨Collaboration is Key
You'll need to work closely with various stakeholders, so highlight your teamwork skills. Think of instances where you collaborated with data analysts or business teams to translate requirements into actionable data solutions. This will show that you can bridge the gap between technical and non-technical teams.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your problem-solving abilities. Brush up on your SQL, Python, and Spark skills, and be ready to tackle hypothetical scenarios related to data processing and transformation. Practising common data engineering challenges can help you feel more confident.
