Scope Markets is a rapidly expanding Group of companies providing online trading services, with regulated entities and operational hubs around the world. Scope Markets aims to provide the best in class trading infrastructure to cater to the needs of all types of clients from the beginners to the very ultimate institutional traders.
We are extraordinarily proud to provide cutting-edge technology, speedy execution, and low latency solutions to our clients to ensure the most optimal trading environment through strategic placement of trading servers, and robust software and hardware
The Data Engineer will be responsible for designing, developing, and maintaining reliable, scalable data
pipelines and data warehouse solutions that support business intelligence, analytics, operational
reporting, and data-driven decision-making across the organisation.
The role will work closely with business stakeholders, analysts, technology teams, and other data
consumers to transform data from trading, CRM, payment, financial, and other operational systems into
accurate, accessible, and well-governed datasets. The Data Engineer will also play a key role in maintaining
data quality, performance, availability, and integrity across the company’s data platform.
🚀 How You Can Make a Difference:
- Collaborate with business stakeholders, analysts, and end users to understand data and reporting
- requirements and translate them into robust technical solutions.
- Design, develop, maintain, and optimise ETL/ELT pipelines for structured and semi-structured data from multiple internal and external sources.
- Design and maintain data models, data marts, and data warehouse structures to support analytics, BI,
- operational reporting, and management reporting.
- Integrate data from systems such as trading platforms, CRM systems, payment providers, finance systems, marketing platforms, and third-party data sources.
- Develop efficient and maintainable SQL queries, stored procedures, views, and database objects.
- Build and maintain datasets used for Power BI dashboards, reports, KPIs, and other analytics solutions.
- Monitor data pipelines and production processes, proactively identifying and resolving failures, performance issues, and data inconsistencies.
- Perform testing, reconciliation, and troubleshooting across development, staging, and production
- environments.
- Implement robust data validation, monitoring, and data-quality controls to ensure accuracy, completeness, consistency, and integrity.
- Support ad-hoc data extraction, analysis, and reporting requests from business teams.
- Optimise database queries, ETL workloads, and data models for performance and scalability.
- Stay current with emerging data-engineering technologies, methodologies, and industry best practices and recommend improvements where appropriate.
