Description
Role Overview
We are looking for a highly capable Data Engineer to build and maintain the data infrastructure powering analytics, financial intelligence, customer insights, and operational decision-making.
The successful candidate will design scalable data pipelines and platforms capable of processing high-volume financial and transactional information while maintaining reliability, data quality, security, and performance.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build reliable infrastructure for processing transactional, customer, operational, and financial datasets.
- Integrate data from APIs, databases, cloud platforms, and third-party systems.
- Establish data-quality monitoring and validation frameworks.
- Optimise data-processing workflows for performance and scalability.
- Collaborate with Data Scientists, Analysts, Engineers, Product Managers, and business stakeholders.
- Develop data models supporting financial reporting, analytics, forecasting, and machine-learning applications.
- Implement appropriate data governance, access controls, and security practices.
- Troubleshoot pipeline failures and resolve data integrity issues.
- Contribute to the architecture and evolution of modern cloud-based data platforms.
- Document data structures, pipelines, integrations, and technical processes.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
- 3+ years of professional data engineering experience.
- Strong SQL and Python skills.
- Experience with relational and non-relational databases.
- Familiarity with cloud platforms, data warehouses, APIs, and distributed processing technologies.
- Understanding of data governance, quality, security, and lifecycle management.
- Strong problem-solving and communication skills.
What We Offer
- Opportunity to engineer data infrastructure supporting sophisticated financial products.
- Access to modern technologies and large-scale datasets.
- Continuous technical development.
- Collaborative multidisciplinary teams.
- Competitive remuneration and career progression.
Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
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