Senior/Lead Data Engineer

Днепър
Киев
Лвов
Одеса
Харков

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Client

Our client is the UK’s leading development finance institution, dedicated to supporting companies in developing countries and driving sustainable growth.

Project overview

We are looking for a Senior/Lead Data Engineer to join a distributed team working on modern cloud-based data solutions within the Azure ecosystem. The role involves designing, developing, and maintaining scalable data pipelines and integrations that support business-critical reporting, analytics, and operational processes.

You will work closely with cross-functional teams, contributing to architecture decisions, delivery processes, and continuous platform improvements while ensuring high standards of quality and reliability.

Responsibilities

Design, develop, and maintain data pipelines and ETL/ELT processes using Azure technologies
Build and support scalable solutions using Azure Data Factory (ADF), Azure SQL, and other Azure services
Develop backend logic and automation using Python, Azure Functions, and Logic Apps
Collaborate with stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions
Monitor, troubleshoot, and optimize data workflows and integrations
Participate in code reviews, technical discussions, and solution design activities
Contribute to CI/CD and deployment processes within the Azure environment
Ensure data quality, security, and performance best practices are followed

Requirements

Strong hands-on experience with Azure Data Factory (ADF)
Solid experience with Azure SQL and the Azure Data Stack
Strong Python development skills
Experience working with Azure Logic Apps and Azure Function Apps
Good understanding of cloud-based data architecture and integration patterns
Experience building and maintaining scalable data pipelines
Familiarity with Azure DevOps, Git, and CI/CD pipelines
Experience working in Agile development environments
Strong communication and collaboration skills
Upper-Intermediate or higher English level

Nice to have

Experience leading technical initiatives or mentoring engineers
Knowledge of data governance and security best practices
Experience with infrastructure automation or monitoring tools
Exposure to financial services or development finance domains

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