Lead Data Engineer - AWS
United Kingdom
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.
We are headquartered in New York and have more than 59,000 employees spanning six continents. For more information, visit www.exlservice.com.
Role Title: Lead Data Engineer AWS
BU/Segment: Data Management / Analytics
Location: London, United Kingdom (Flexible hybrid working)
Employment Type: Permanent
Summary of the role:
The Lead Data Engineer will provide technical expertise in analysis, design, development, rollout and maintenance of data integration initiatives. This role will contribute to implementation methodologies and best practices, as well as work on project teams to analyse, design, develop and deploy business intelligence / data integration solutions to support a variety of customer needs. This position oversees a team of Data Integration Consultants at various levels, ensuring their success on projects, goals, trainings and initiatives though mentoring and coaching.
Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective whilst leveraging best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges
Works with stakeholders to identify and define self-service analytic solutions, dashboards, actionable enterprise business intelligence reports and business intelligence best practices. Responsible for repeatable, lean and maintainable enterprise BI design across organizations. Effectively partners with client team.
Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.
As part of your duties, you will be responsible for:
- Design, develop, test, and deploy data integration processes (batch or real-time) in AWS using tools such as Redshift, S3, Glue, Athena, Lambda, etc.
- Would lead a team of data engineers and be responsible for the engineering design and implementation, including providing guidance, support, and professional development opportunities to team members, fostering a collaborative and high-performing environment.
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc. - Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs.
- Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration
Ensures proper execution/creation of methodology, training, templates, resource plans and engagement review processes - Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate.
Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels - Work with report team to identify, design and implement a reporting user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices.
Qualifications and experience we consider to be essential for the role:
- 10 Years industry implementation experience with data integration tools such as AWS services Redshift, Athena, Lambda, Glue, S3, ETL, etc.
- 5-8 years of management experience required
- 5-8 years consulting experience preferred
- Minimum of 5 years of data architecture, data modelling or similar experience
- Bachelor’s degree or equivalent experience, Master’s Degree Preferred
- Strong data warehousing, OLTP systems, data integration and SDLC
- Strong experience in orchestration & working experience cloud native / 3rd party ETL data load orchestration
- Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP)
- Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms
Skills and Personal attributes we would like to have:
- Cloud & Data Engineering: Expertise in AWS data services (Redshift, Glue, S3, Athena, Lambda) with strong skills in designing and deploying scalable data integration pipelines and modern data architectures.
- Data Architecture & Modelling: Solid grounding in data warehousing, data modelling techniques (Dimensional, ODS, Data Vault), and orchestration frameworks.
- Leadership & Team Management: Proven experience leading data engineering teams, with strengths in coaching, performance management, and fostering collaborative, high-performing environments.
- Agile & DevOps Practices: Hands-on experience with Agile methodologies and tools (e.g., Azure DevOps, JIRA), including CI/CD implementation and version control.
- Stakeholder Engagement & Consulting: Strong consultative approach with the ability to translate complex business needs into technical solutions, working effectively with cross-functional and client teams.
- Soft Skills: Excellent communication, critical thinking, time management, problem-solving, and a commitment to continuous learning and knowledge sharing.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Athena AWS Azure Banking Business Intelligence CI/CD Consulting Data analysis Data management Data Warehousing DevOps Engineering ETL Excel GCP Hadoop Jira Lambda NoSQL Pipelines Redshift Scrum SDLC Security Testing
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Insurance Salary bonus Startup environment
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