AWS Data Engineer designing data models and supporting data architecture for various clients at EXL. Collaborating to deliver data solutions for improved business outcomes in a hybrid work environment.
About the role
- Senior Data Engineer shaping how data drives processes at Phoenix Group. Working with cross-functional teams on cloud platforms including Databricks and Azure.
Responsibilities
- Design and implement end-to-end data engineering solutions across multiple platforms, including Azure, Databricks, SQL Server, and Salesforce, enabling seamless data integration and interoperability
- Architect and optimize Delta Lake environments within Databricks to support scalable, reliable, and high-performance data pipelines for both batch and streaming workloads
- Develop and manage robust data pipelines for operational, analytical, and digital use cases, leveraging best practices for data ingestion, transformation, and delivery
- Integrate diverse data sources—cloud, on-premises, and third-party systems—using connectors, APIs, and ETL frameworks to ensure consistent and accurate data flow across the enterprise
- Implement advanced data storage and retrieval strategies that support operational data stores (ODS), transactional systems, and analytical platforms
- Collaborate with cross-functional teams (data scientists, analysts, product owners, and operational leaders) to embed data capabilities into business processes and digital services
- Optimize workflows for performance and scalability, addressing bottlenecks and ensuring efficient processing of large-scale datasets
- Apply security and compliance best practices, safeguarding sensitive data and ensuring adherence to governance and regulatory standards
- Create and maintain comprehensive documentation for data architecture, pipelines, and integration processes to support transparency and knowledge sharing
Requirements
- Proven experience in enterprise-scale data engineering, with a strong focus on cloud platforms (Azure preferred) and cross-platform integration (e.g., Azure ↔ Salesforce, SQL Server)
- Deep expertise in Databricks and Delta Lake architecture, including designing and optimizing data pipelines for batch and streaming workloads
- Strong proficiency in building and managing data pipelines using modern ETL/ELT frameworks and connectors for diverse data sources
- Hands-on experience with operational and analytical data solutions, including ODS, data warehousing, and real-time processing
- Solid programming skills in Python, Scala, and SQL, with experience in performance tuning and workflow optimization
- Experience with cloud-native services (Azure Data Factory, Synapse, Event Hub, etc.) and integration patterns for hybrid environments
Benefits
- 16% bonus up to 32%
- private medical cover
- 38 days annual leave
- excellent pension
- 12x salary life assurance
- career breaks
- income protection
- 3x volunteering days
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