Data Engineer

• Design, develop, and maintain robust .NET applications and services
• Architect and implement cloud-based solutions that meet business requirements
• Orchestrate and manage data integration pipelines from external data sources into Databricks environments
• Design and implement ETL/ELT processes to ingest, transform, and load data from various sources
• Utilize SQL for database design, management, and optimization, including writing complex queries, stored procedures, and functions
• Develop Python scripts and applications for data processing, automation, and integration tasks
• Build and maintain data workflows and scheduling mechanisms to ensure reliable data ingestion and processing
• Monitor data quality, troubleshoot integration issues, and implement error handling and logging mechanisms
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Implement microservices architecture to enhance application modularity and scalability
• Engage with stakeholders to understand requirements and deliver customer-centric solutions
• Ensure code quality through best practices, code reviews, and testing
• Assist in the packaging and delivery of finished software products to clients
• Communicate with technical and business leaders on business requirements, system-related capabilities, programming progress, and enhancement status
• Work with other teams to develop a good understanding of the overall business process and make sure the final development effort meets real-life requirements

• Master's or bachelor's degree in computer science or related field with 6-10 years of relevant experience
• Hands-on experience building and maintaining event-driven integrations, including working with message queues, pub/sub patterns, and asynchronous processing
• Strong experience working with APIs — including calling external APIs to retrieve data and integrating API-driven workflows into larger systems
• Ability to work independently and multitask in a fast-paced environment to meet client deadlines
• Strong organizational, and analytical skills, problem-solving skills and high attention to detail
• Highly developed written and strong oral communication skills
• Flexibility in working hours according to business needs
• Strong experience writing complex SQL queries, stored procedures, and functions for data manipulation and reporting
• Proficiency in Python programming for automation, data processing, and scripting tasks
• Experience with data integration patterns, ETL/ELT processes, and orchestration tools
• Understanding of data pipeline design, data quality management, and error handling strategies
• Strong understanding of OOP concepts, SOLID principles, design patterns and architecture
• Experience working with Microsoft .NET Framework (C# language), Microsoft SQL Server, PostgreSQL
• Strong technical and organizational skills
• Candidate should be analytical and detail-oriented, as well as team-oriented, but also be able to work independently
• Experience working in an Agile development environment
• Exposure to Git, GitHub, Jira
• Experience in Cloud Deployment
• Experience with Databricks

Good to have domain knowledge in Financial Services

• Support for professional accreditations such as ACCA and study leave
• Flexible arrangements, generous holidays, plus an additional day off for your birthday
• Continuous mentoring along your career progression
• Active sports, events and social committees across our offices
• 24/7 support available from our Employee Assistance Program
• The opportunity to invest in our growth and success through our Employee Share Plan
• Plus additional local benefits depending on your location