Data Engineer
Core
Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support business intelligence, analytics, and operational processes.
Role type
Mid-to-senior level Data Engineer
Builds
Scalable data platforms, pipelines, and integrations for business intelligence and analytics
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, C#, Python, ETL/ELT pipeline development, relational database design, data warehousing, dimensional modelling, CI/CD, DevOps, source control
Preferred skills
Data visualization, machine learning, big data technologies, financial services domain knowledge, Microsoft Azure Data Engineer Associate certification
Technologies
Microsoft SQL Server, Microsoft Azure, C#, Python
Responsibilities
Design and optimize data models and integration solutions; implement data quality and monitoring frameworks; collaborate with stakeholders to translate business needs into technical solutions; mentor junior team members
Seniority
Mid-to-senior level (4–8 years experience)
