Description

Company Overview

The organisation operates within the fintech and digital banking sector, developing technology-driven financial products supported by data-intensive systems and automated processing infrastructure. Its operations depend on reliable financial information, consistent data pipelines, and accurate reporting to support payment services, banking applications, and financial decision-making.

Role Summary

The Financial Data Quality Engineer will be responsible for designing and maintaining processes that ensure the accuracy, consistency, completeness, and reliability of financial data across interconnected fintech systems.

The position combines data engineering, financial systems knowledge, and quality assurance. The successful candidate will develop automated validation procedures, investigate data inconsistencies, and work with engineering and analytics teams to improve the reliability of financial datasets.

The role is particularly important in maintaining dependable information across transaction processing systems, customer account records, payment reporting platforms, and financial analytics environments.

Key Responsibilities

  • Develop automated data quality checks for financial transactions, customer records, and payment information.

  • Design validation frameworks to identify incomplete, duplicated, inconsistent, or incorrectly formatted financial data.

  • Build and maintain data processing pipelines supporting financial reporting and analytics.

  • Investigate discrepancies between source systems, operational databases, and reporting platforms.

  • Write SQL queries to analyse financial datasets and identify data integrity issues.

  • Collaborate with software engineers to improve data collection and integration processes.

  • Establish monitoring procedures for detecting data pipeline failures and processing irregularities.

  • Develop automated testing routines to validate financial data transformations.

  • Maintain documentation covering data structures, validation rules, and quality control procedures.

  • Support the preparation of reliable datasets for financial reporting and business intelligence.

  • Monitor data processing performance and recommend improvements to existing workflows.

  • Assist with implementing data governance standards and appropriate access controls.

Requirements and Qualifications

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

  • At least three years of experience in data engineering, data quality assurance, or financial data analytics.

  • Strong SQL skills and practical experience working with relational databases.

  • Experience with Python or another programming language used for data processing.

  • Understanding of ETL processes, data pipelines, and automated validation frameworks.

  • Familiarity with financial transaction data and digital banking systems.

  • Experience with data warehousing and business intelligence platforms.

  • Knowledge of data governance, information security, and data integrity principles.

  • Strong analytical thinking and troubleshooting capabilities.

  • Ability to communicate technical findings to both engineering and finance teams.

Benefits

  • Fully remote working opportunity within Estonia.

  • Competitive employment package aligned with experience and technical capabilities.

  • Access to modern data engineering and financial technology tools.

  • Opportunities to work on complex financial data infrastructure.

  • Continuous technical development and learning opportunities.

  • International collaboration with experienced engineering and finance professionals.

  • Professional growth within the expanding fintech and digital banking industry.

Application Instructions

Interested candidates should submit an updated CV detailing their data engineering experience, SQL and Python capabilities, and previous work involving financial datasets or transaction processing systems. Applications should include relevant experience with data validation, automated testing, and financial data quality management.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

#JobsHubEstonia #GlobalRecruitment
#CareerOpportunities #HiringNow
#JobSeekersNetwork #EstoniaJobs
#RecruitmentServices #EmploymentPortal.