About the Role
The role involves developing robust data pipelines and maintaining data infrastructure to support real-time analytics and large-scale data processing needs.
Responsibilities
- Design and implement data storage solutions that ensure efficient access and reliability
- Build and maintain ETL pipelines for processing high-volume data streams
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions
- Optimize data workflows for performance and scalability
- Ensure data quality and integrity across systems
- Support the integration of data from multiple sources into centralized platforms
- Monitor data pipeline health and troubleshoot issues promptly
- Contribute to architectural decisions for data platforms
- Work with cloud-based data services and infrastructure
- Apply software engineering best practices to data engineering tasks
- Document data models, processes, and system designs
- Participate in code reviews and technical discussions
- Help maintain security and compliance standards for data handling
- Support testing and validation of data solutions
- Engage in continuous improvement of data tools and frameworks
Nice to Have
- Experience with stream processing frameworks
- Knowledge of machine learning pipelines
- Familiarity with infrastructure as code
- Background in financial technology domains
- Exposure to real-time analytics platforms
Benefits
- Health and wellness programs
- Pension contribution matching
- Generous annual leave allowance
- Professional development funding
- Flexible working hours
- Remote work support
- Team events and social gatherings
- Learning and training resources
- Parental leave policies
- Employee assistance program
Compensation
Competitive salary with performance-based bonuses
Work Arrangement
Hybrid working model with flexible remote options
Team
Collaborative team of engineers and technologists focused on delivering high-quality solutions
Technology Stack
- Uses modern data engineering tools including Apache Spark, Kafka, and cloud-native services
- Works extensively with Python and Scala for data processing tasks
Career Development
- Opportunities for technical growth and leadership roles
- Support for certifications and conference participation
Available for qualified candidates requiring sponsorship
