Data Engineer

Our Customer:
A financial services company in the online trading market.

Your Tasks:

• Develop and maintain ETL/ELT pipelines
• Integrate data from trading, CRM, payment and financial systems
• Design and maintain data warehouse models
• Develop SQL queries, stored procedures, views and functions
• Prepare datasets for Power BI reports
• Implement data validation, reconciliation and monitoring
• Troubleshoot data issues in development and production environments

Required Experience and Skills:

• 2+ years of experience in Data Engineering, BI, Data Analytics Engineering or a similar role
• 1+ years of experience with Power BI or a comparable BI platform
• Strong command of SQL, including complex queries, window functions and query optimisation
• Hands-on experience with ETL/ELT processes and data pipelines
• Hands-on experience with relational databases
• Hands-on experience with data warehouse solutions
• Working knowledge of data modelling, including star schema, fact and dimension tables
• Hands-on experience with stored procedures, views and functions
• Hands-on experience with SQL Server, SSIS or SSAS
• Solid understanding of data quality, validation and reconciliation practices
• Proven ability to troubleshoot data issues in development and production environments
• Strong communication skills
• English — Upper-Intermediate

Would Be a Plus:

• Experience in forex, CFD, brokerage, fintech, banking or payments
• Familiarity with trading-related data
• Experience with MetaTrader 4/5
• Experience with CRM platforms
• Experience with payment providers
• Experience with liquidity and market-data sources
• Hands-on experience with Python for data processing or automation
• Experience with Azure, AWS or Google Cloud
• Familiarity with Azure Data Factory, Microsoft Fabric, Databricks or Snowflake

Working conditions:

• 5-day working week, 8-hour working day;
• Remote work.

Відгукнутись на вакансію