Jobs Kharkiv, Data Engineer

Client

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

Position 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

We are looking for an experienced data engineer with design and

development experience in automating scalable and high-performance data processing systems (batch and/or streaming) on the cloud (AWS preferably).

What You’ll Do

● Design our data models for optimal storage and retrieval on the cloud and to meet critical product and business requirements

● Build scalable and highly-performant distributed data processing systems as we migrate to the cloud

● Work closely with our business stakeholders to flesh out and deliver on requirements in an agile manner

● Set and evolve data standards and best practices

● Contribute to the data architecture and align it with the business and technology

● Adhere to and enforce software development best practices on the cloud in areas including but not limited to CI/CD, code reviews, automated testing, operational excellence, data quality, etc.

What You Should Have

● 4+ years of programming experience in Java/Scala/Python

● 2+ years experience using an enterprise cloud-based solution

● 2+ years implementing data processing pipelines on the cloud (batch and/or streaming)

● Advanced understanding of SQL, relational, and NoSQL databases required

● Experience with various data access patterns, streaming technology, data quality, data modeling, data performance, and cost optimization