Data & Automation Engineer (Python, ETL, Reporting)

On behalf of our client, a FinTech company at the forefront of financial innovation—committed to building secure, compliant, and scalable solutions for an international client base, we are seeking a highly skilled Data Analyst with strong Power BI and Python experience to maintain data pipelines and own the end-to-end development of automated reporting systems.

This role focuses heavily on  Power BI report design, optimization, and delivery , supported by Python-based ETL pipelines and basic SQL database management. The analyst will work closely with finance and internal stakeholders to deliver  accurate, actionable, and scalable insights across multiple business areas.

The ideal candidate is a proactive problem solver who enjoys working with data, optimizing reporting processes, and taking ownership of Power BI solutions.

Key Responsibilities

• Own, develop, and maintain Power BI dashboards and reports, ensuring clarity, performance, and business relevance.
• Maintain and enhance Python-based ETL pipelines, extracting data from multiple sources such as Azure SQL, MySQL, Telegram, Monday.com, and others for analysis and reporting.
• Ensure data quality, accuracy, and consistency across the full data flow—from ETL pipelines to Power BI and Excel financial reports.
• Collaborate closely with the Finance team to automate recurring reports and support ad-hoc analysis, improving productivity and decision-making.
• Implement enhancements and new features in Power BI models, DAX calculations, and ETL pipelines as business needs evolve.
• Proactively identify, troubleshoot, and resolve data or reporting issues.
• Work with internal teams to understand requirements and propose data-driven and reporting solutions, contributing to continuous process improvement.

Qualifications

• Strong proficiency in    Power BI , including data modeling, DAX, report optimization, and dashboard design.
• Proficiency in    Python for ETL pipelines, data extraction, transformation, testing, and automation.
• Solid understanding of    SQL and database management , preferably    Azure SQL .
• Experience building    scalable, efficient, and reliable data workflows .
• Ability to work independently and take ownership of Power BI reporting , while collaborating effectively with finance and other business teams to support data-driven decisions.