Senior Databricks Data Engineer

Job Description: 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 60,000 employees spanning six continents. For more information, visit www.exlservice.com .

Role Title: Databricks Data Engineer

BU/Segment: Data Management / Banking & Financial Services

Location: Dublin, Republic of Ireland (Flexible hybrid working)

Employment Type: Permanent or Contract

Summary of the role:

We are seeking a hands-on Databricks Data Engineer to support a high-impact data transformation initiative focused on automating reporting and dashboard processes.

You will work with structured and unstructured data sources, building and maintaining scalable data ingestion and transformation pipelines within a Databricks medallion architecture.

This role is delivery-focused, working closely with Data Architects and senior stakeholders to implement data solutions, develop pipelines across Bronze / Silver / Gold layers, and ensure data quality, performance, and reliability within a modern cloud-based data platform.

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

• Data Pipeline Development:
  Design, build, and maintain data ingestion and transformation pipelines using Databricks, working across structured and unstructured data sources.
• Medallion Architecture Implementation:
  Develop and support data pipelines across Bronze, Silver and Gold layers, ensuring data is cleansed, transformed, and optimised for downstream reporting and analytics.
• Data Integration & Processing:
  Implement batch and streaming data pipelines using tools such as Databricks, Spark, and Azure Data Factory (ADF) to enable efficient data movement and processing.
• Collaboration with Architects & Stakeholders:
  Work closely with Data Architects and business stakeholders to understand requirements and translate them into reliable, maintainable data engineering solutions.
• Data Quality & Validation:
  Support the implementation of data quality checks, validation rules, and monitoring processes to ensure accuracy and reliability of data pipelines.
• Performance Optimisation:
  Assist in optimising data pipeline performance, scalability, and cost efficiency within Databricks and cloud environments.
• Data Governance & Standards:
  Follow established best practices for data governance, lineage, and metadata management, ensuring compliance with organisational standards.
• Testing, Deployment & Release Support:
  Support testing, deployment, and release processes, ensuring solutions are robust and production-ready.
• Documentation:
  Create and maintain technical documentation, including pipeline logic, data flows, and transformation rules.
• Continuous Improvement:
  Stay up to date with Databricks features and modern data engineering practices, contributing to ongoing improvements in tooling, frameworks, and ways of working.

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

• Education & Experience:
  Bachelor’s degree in IT, Computer Science, or a related field, with 3–6 years’ experience in data engineering, data warehousing, or related roles.
• Databricks & Data Engineering Skills:
  Hands-on experience with Databricks and Spark-based data processing, including building and maintaining data pipelines.
• Data Integration & Processing:
  Experience working with ETL/ELT pipelines using tools such as Databricks, Azure Data Factory (ADF), or similar frameworks.
• Data Platform & Database Knowledge:
  Experience working with enterprise data stores such as SQL Server, PostgreSQL, Oracle, Synapse, or similar.
• Cloud Experience:
  Exposure to cloud-based data platforms (Azure preferred) and distributed data processing environments.
• Business Intelligence Awareness:
  Basic understanding of reporting tools such as Power BI or Tableau, and how data pipelines support analytics and dashboards.
• Industry Experience (Desirable):
  Experience within Financial Services or regulated environments is beneficial.

Skills and Personal attributes we would like to have:

• Hands-on Delivery Focus:
  Strong focus on building and delivering data solutions, with the ability to work across multiple pipeline components.
• Problem Solving:
  Ability to troubleshoot issues in data pipelines and processing workflows, identifying root causes and implementing fixes.
• Collaboration & Teamwork:
  Comfortable working within cross-functional teams, including architects, engineers, and business stakeholders.
• Attention to Detail:
  Strong attention to detail when working with data quality, transformations, and validation logic.
• Learning Mindset:
  Eagerness to develop skills in Databricks, cloud data platforms, and modern data engineering practices.
• Communication Skills:
  Ability to clearly communicate technical concepts and updates to both technical and non-technical stakeholders.
  

As part of a leading global Data and AI company, you can look forward to:

• A competitive salary with a generous bonus, private healthcare, life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
• 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.
• 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 Republic of Ireland.

Responsibilities: Lead design and optimization of complex data solutions, Oversee data engineering projects, Mentor junior engineers, Ensure solutions align with organizational goals, Provide strategic guidance.