Company Overview

The organisation develops technology-driven financial services that rely on accurate, accessible and secure data. Its engineering environment supports the collection, processing and integration of financial information across digital products, enabling reliable reporting, advanced analytics and operational decision-making.

Role Summary

The Fintech Data Engineer will design, build and maintain data pipelines and infrastructure supporting financial analytics, transaction reporting and business intelligence. The role focuses on ensuring that data from payment systems, customer platforms and financial applications is processed efficiently, validated consistently and made available for analytical use.

The successful candidate will work closely with software engineers, data analysts, product teams and security specialists to develop reliable data systems that can scale with business requirements.

Key Responsibilities

• Design and maintain data pipelines for financial transactions, account activity and operational reporting.

• Build and optimise ETL/ELT workflows for structured and semi-structured financial data.

• Integrate data from internal applications, payment services, APIs and external data providers.

• Develop data models that support analytics, reporting and business intelligence requirements.

• Implement data validation, reconciliation and quality monitoring procedures.

• Optimise database queries, pipeline performance and storage efficiency.

• Apply appropriate access controls and data handling practices to protect sensitive financial information.

• Monitor pipeline reliability, troubleshoot processing failures and document technical solutions.

• Collaborate with analytics teams to ensure datasets meet reporting and modelling requirements.

Requirements and Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering or a related discipline.

• At least three years of experience in data engineering or backend data infrastructure.

• Strong proficiency in SQL and Python.

• Practical experience with data orchestration tools, ETL/ELT frameworks and workflow scheduling.

• Experience with cloud data platforms, data warehouses and relational databases.

• Understanding of data modelling, pipeline testing, monitoring and quality assurance.

• Familiarity with financial transaction data, payment integrations or regulated data environments is an advantage.

• Strong problem-solving skills and the ability to work independently in a remote team.

Benefits

• Fully remote working opportunity within Estonia.

• Competitive compensation reflecting experience and technical expertise.

• Opportunities to work with modern cloud and data engineering technologies.

• Support for professional learning and relevant technical certifications.

• Collaborative engineering culture focused on reliability, quality and continuous improvement.

Application Instructions

Interested candidates should submit an up-to-date CV and a brief cover letter describing their data engineering experience, preferred technology stack and relevant projects. Applicants are encouraged to highlight their contributions to pipeline reliability, data quality or processing efficiency.

Are you interested in this position?

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