Job
Core
Design, develop, and maintain scalable data pipelines and data warehouse solutions to support business intelligence, analytics, and operational reporting for a global online trading group.
Role type
Data Engineer
Builds
ETL/ELT pipelines, data models, data marts, and datasets for Power BI dashboards and reports
Domain
Financial services / Online trading / Data engineering
Deliverable
dashboards & analysis
Required skills
SQL, data modelling (dimensional, star-schema), stored procedures, Microsoft data technologies (SQL Server, SSIS, SSAS), Power BI, data quality validation, troubleshooting
Preferred skills
Python, cloud platforms (Azure, AWS, GCP), modern data platforms (Azure Data Factory, Microsoft Fabric, Databricks, Snowflake), financial domain knowledge (forex, CFD, brokerage), trading system integration (MetaTrader, CRM, payment providers) (via careerplan.io/jobs/34975-job)
Technologies
SQL Server, SSIS, SSAS, Power BI, Azure, AWS, Google Cloud, Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, MetaTrader 4/5
Responsibilities
Design and maintain data models and warehouse structures; develop efficient SQL queries and database objects; build datasets for BI dashboards; monitor and optimize data pipelines; perform testing and reconciliation; support ad-hoc data requests; implement data quality controls
Seniority
Mid-level, hands-on IC
