Senior Data Engineer

Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Monaco, Nassau, and Dubai. FxPro boasts a diverse workforce of over 400 employees representing 22 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.

As a Senior Data Engineer, you will join our dynamic Business Intelligence Development team, working closely with the Data Analysis and Data Science teams on innovative projects. You will be responsible for designing and optimizing efficient big data structures, implementing data cleansing techniques, and developing robust data infrastructure and pipelines.

Responsibilities

• Write code and test SQL queries for analysis and reporting purposes
• Design, build, and deploy business intelligence solutions including ETL processes, data marts, data extracts, reports, and dashboards
• Maintain and support data analytics platforms
• Ensure performance, security, and availability of data sources
• Participate in the design and development of data warehouse based on best practices
• Document processes for future use
• Identify, communicate, and resolve data quality and data reconciliation issues
• Collaborate regularly with management and end users to interpret data, gather business requirements, and develop recommendations based on findings
• Utilise Azure Cloud Services to develop and maintain scalable data pipelines and infrastructure, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
• Design and implement data warehouses and data lakes, following best practices and leveraging Azure services for scalability and efficiency

Requirements

• University Degree in Computer Science or any other related field
• Self-motivation and passion for working with data
• Minimum of 4 years of experience in designing and creating data solutions
• Experience with designing and managing relational databases
• Proficiency with SQL scripting and its variation among popular databases
• Skilled at optimising large, complicated SQL statements
• Knowledge of Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) principles
• Experience in the development of ETL pipelines
• Capable of troubleshooting common database issues
• Experience in Azure clouds and Azure Data Factory
• Excellent command of the English language

Considered as an advantage

– Programming experience with Python or any high-level programming language is a plus.

– Familiar with SQL Server Analysis Services

– Knowledge of a Business Intelligence tool (preferably Power BI)

– Relevant experience in the Financial Services industry

Our benefits

• Excellent compensation package
• Hybrid work schedule 
• Medical and life insurance
• Provident fund
• In-house gym with a personal trainer
• Free daily lunch catering, snacks, and beverages
• Company discount card for various products & services
• 50% discount on language courses with a tutor
• 21 days of annual leave and 10 days of sick leave annually
• Shuttle bus service from Limassol
• Birthday certificate program